Pandas Profiling Report

Dataset statistics

Number of variables	28
Number of observations	80
Missing cells	31
Missing cells (%)	1.4%
Duplicate rows	0
Duplicate rows (%)	0.0%
Total size in memory	17.6 KiB
Average record size in memory	225.6 B

Variable types

Numeric	9
Categorical	19

Alerts

`airdate` has constant value "2020-12-02"	Constant
`url` has a high cardinality: 80 distinct values	High cardinality
`name` has a high cardinality: 69 distinct values	High cardinality
`_embedded_show_url` has a high cardinality: 66 distinct values	High cardinality
`_embedded_show_name` has a high cardinality: 65 distinct values	High cardinality
`_embedded_show_premiered` has a high cardinality: 60 distinct values	High cardinality
`_embedded_show_officialSite` has a high cardinality: 59 distinct values	High cardinality
`_embedded_show_summary` has a high cardinality: 53 distinct values	High cardinality
`_links_self_href` has a high cardinality: 80 distinct values	High cardinality
`runtime` is highly correlated with `_embedded_show_runtime` and 1 other fields	High correlation
`_embedded_show_runtime` is highly correlated with `runtime` and 1 other fields	High correlation
`_embedded_show_averageRuntime` is highly correlated with `runtime` and 1 other fields	High correlation
`season` is highly correlated with `number`	High correlation
`number` is highly correlated with `season`	High correlation
`runtime` is highly correlated with `_embedded_show_runtime` and 1 other fields	High correlation
`_embedded_show_runtime` is highly correlated with `runtime` and 1 other fields	High correlation
`_embedded_show_averageRuntime` is highly correlated with `runtime` and 1 other fields	High correlation
`runtime` is highly correlated with `_embedded_show_runtime` and 1 other fields	High correlation
`_embedded_show_runtime` is highly correlated with `runtime` and 1 other fields	High correlation
`_embedded_show_averageRuntime` is highly correlated with `runtime` and 1 other fields	High correlation
`_embedded_show_officialSite` is highly correlated with `_embedded_show_summary` and 10 other fields	High correlation
`summary` is highly correlated with `url` and 3 other fields	High correlation
`_embedded_show_summary` is highly correlated with `_embedded_show_officialSite` and 9 other fields	High correlation
`_embedded_show_type` is highly correlated with `_embedded_show_officialSite` and 4 other fields	High correlation
`_embedded_show_status` is highly correlated with `_embedded_show_summary` and 4 other fields	High correlation
`url` is highly correlated with `_embedded_show_officialSite` and 17 other fields	High correlation
`_embedded_show_ended` is highly correlated with `_embedded_show_status` and 4 other fields	High correlation
`_embedded_show_name` is highly correlated with `_embedded_show_officialSite` and 8 other fields	High correlation
`_embedded_show_premiered` is highly correlated with `_embedded_show_officialSite` and 11 other fields	High correlation
`name` is highly correlated with `url` and 2 other fields	High correlation
`airdate` is highly correlated with `_embedded_show_officialSite` and 17 other fields	High correlation
`airtime` is highly correlated with `url` and 6 other fields	High correlation
`_links_self_href` is highly correlated with `_embedded_show_officialSite` and 17 other fields	High correlation
`_embedded_show_genres` is highly correlated with `_embedded_show_officialSite` and 10 other fields	High correlation
`type` is highly correlated with `_embedded_show_officialSite` and 6 other fields	High correlation
`_embedded_show_url` is highly correlated with `_embedded_show_officialSite` and 8 other fields	High correlation
`_embedded_show_language` is highly correlated with `url` and 3 other fields	High correlation
`_embedded_show_dvdCountry` is highly correlated with `_embedded_show_officialSite` and 7 other fields	High correlation
`airstamp` is highly correlated with `_embedded_show_type` and 7 other fields	High correlation
`id` is highly correlated with `url` and 10 other fields	High correlation
`url` is highly correlated with `id` and 25 other fields	High correlation
`name` is highly correlated with `id` and 21 other fields	High correlation
`season` is highly correlated with `url` and 14 other fields	High correlation
`number` is highly correlated with `url` and 12 other fields	High correlation
`type` is highly correlated with `url` and 10 other fields	High correlation
`airtime` is highly correlated with `url` and 18 other fields	High correlation
`airstamp` is highly correlated with `url` and 19 other fields	High correlation
`runtime` is highly correlated with `url` and 18 other fields	High correlation
`summary` is highly correlated with `url` and 11 other fields	High correlation
`_embedded_show_id` is highly correlated with `id` and 19 other fields	High correlation
`_embedded_show_url` is highly correlated with `id` and 25 other fields	High correlation
`_embedded_show_name` is highly correlated with `id` and 25 other fields	High correlation
`_embedded_show_type` is highly correlated with `url` and 20 other fields	High correlation
`_embedded_show_language` is highly correlated with `url` and 16 other fields	High correlation
`_embedded_show_genres` is highly correlated with `id` and 18 other fields	High correlation
`_embedded_show_status` is highly correlated with `url` and 12 other fields	High correlation
`_embedded_show_runtime` is highly correlated with `url` and 16 other fields	High correlation
`_embedded_show_averageRuntime` is highly correlated with `url` and 15 other fields	High correlation
`_embedded_show_premiered` is highly correlated with `id` and 25 other fields	High correlation
`_embedded_show_ended` is highly correlated with `url` and 10 other fields	High correlation
`_embedded_show_officialSite` is highly correlated with `id` and 24 other fields	High correlation
`_embedded_show_weight` is highly correlated with `url` and 13 other fields	High correlation
`_embedded_show_dvdCountry` is highly correlated with `url` and 13 other fields	High correlation
`_embedded_show_summary` is highly correlated with `id` and 23 other fields	High correlation
`_embedded_show_updated` is highly correlated with `id` and 10 other fields	High correlation
`_links_self_href` is highly correlated with `id` and 25 other fields	High correlation
`number` has 1 (1.2%) missing values	Missing
`runtime` has 6 (7.5%) missing values	Missing
`_embedded_show_runtime` has 20 (25.0%) missing values	Missing
`_embedded_show_averageRuntime` has 4 (5.0%) missing values	Missing
`url` is uniformly distributed	Uniform
`name` is uniformly distributed	Uniform
`_embedded_show_url` is uniformly distributed	Uniform
`_embedded_show_name` is uniformly distributed	Uniform
`_embedded_show_premiered` is uniformly distributed	Uniform
`_links_self_href` is uniformly distributed	Uniform
`id` has unique values	Unique
`url` has unique values	Unique
`_links_self_href` has unique values	Unique

Reproduction

Analysis started	2022-05-10 01:59:41.207174
Analysis finished	2022-05-10 02:00:12.456794
Duration	31.25 seconds
Software version	pandas-profiling v3.2.0
Download configuration	config.json

id
Real number (ℝ_≥0)

HIGH CORRELATION
UNIQUE

Distinct	80
Distinct (%)	100.0%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	2021553.962

Minimum	1945144
Maximum	2318096
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	768.0 B

Quantile statistics

Minimum	1945144
5-th percentile	1965847.7
Q1	1976154.75
median	1979292.5
Q3	2026184.75
95-th percentile	2193289.2
Maximum	2318096
Range	372952
Interquartile range (IQR)	50030

Descriptive statistics

Standard deviation	81262.92541
Coefficient of variation (CV)	0.04019824695
Kurtosis	2.149141054
Mean	2021553.962
Median Absolute Deviation (MAD)	7118
Skewness	1.762679926
Sum	161724317
Variance	6603663046
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
1972782	1	1.2%
1979223	1	1.2%
1977633	1	1.2%
1977632	1	1.2%
1976186	1	1.2%
1976185	1	1.2%
1976155	1	1.2%
1976154	1	1.2%
1976137	1	1.2%
1976136	1	1.2%
Other values (70)	70	87.5%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
1945144	1	1.2%
1958865	1	1.2%
1960029	1	1.2%
1964493	1	1.2%
1965919	1	1.2%
1968548	1	1.2%
1968549	1	1.2%
1970184	1	1.2%
1971567	1	1.2%
1972782	1	1.2%

Value	Count	Frequency (%)
2318096	1	1.2%
2239607	1	1.2%
2205967	1	1.2%
2205966	1	1.2%
2192622	1	1.2%
2182080	1	1.2%
2176119	1	1.2%
2174898	1	1.2%
2166193	1	1.2%
2153915	1	1.2%

url
Categorical

HIGH CARDINALITY
HIGH CORRELATION
HIGH CORRELATION
UNIFORM
UNIQUE

Distinct	80
Distinct (%)	100.0%
Missing	0
Missing (%)	0.0%
Memory size	768.0 B

https://www.tvmaze.com/episodes/1972782/kontakty-1x28-kontakty-v-telefone-sergea-lazareva-timati-polina-gagarina-vlad-topalov-ida-galic	1
https://www.tvmaze.com/episodes/1979223/kotiki-1x03-seria-3	1
https://www.tvmaze.com/episodes/1977633/to-love-1x22-episode-22	1
https://www.tvmaze.com/episodes/1977632/to-love-1x21-episode-21	1
https://www.tvmaze.com/episodes/1976186/psych-hunter-1x20-episode-20	1
Other values (75)	75

Length

Max length	140
Median length	105
Mean length	82.2875
Min length	58

Characters and Unicode

Total characters	6583
Distinct characters	40
Distinct categories	4 ?
Distinct scripts	2 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	80 ?
Unique (%)	100.0%

Sample

1st row	https://www.tvmaze.com/episodes/1972782/kontakty-1x28-kontakty-v-telefone-sergea-lazareva-timati-polina-gagarina-vlad-topalov-ida-galic
2nd row	https://www.tvmaze.com/episodes/1979223/kotiki-1x03-seria-3
3rd row	https://www.tvmaze.com/episodes/1971567/mermaid-prince-2x07-episode-7
4th row	https://www.tvmaze.com/episodes/1983072/wan-sheng-jie-2x10-all-products-funds-were-spent-on-this-episode
5th row	https://www.tvmaze.com/episodes/1985615/yi-nian-yong-heng-1x19-episode-19

Common Values

Value	Count	Frequency (%)
https://www.tvmaze.com/episodes/1972782/kontakty-1x28-kontakty-v-telefone-sergea-lazareva-timati-polina-gagarina-vlad-topalov-ida-galic	1	1.2%
https://www.tvmaze.com/episodes/1979223/kotiki-1x03-seria-3	1	1.2%
https://www.tvmaze.com/episodes/1977633/to-love-1x22-episode-22	1	1.2%
https://www.tvmaze.com/episodes/1977632/to-love-1x21-episode-21	1	1.2%
https://www.tvmaze.com/episodes/1976186/psych-hunter-1x20-episode-20	1	1.2%
https://www.tvmaze.com/episodes/1976185/psych-hunter-1x19-episode-19	1	1.2%
https://www.tvmaze.com/episodes/1976155/new-face-1x14-episode-14	1	1.2%
https://www.tvmaze.com/episodes/1976154/new-face-1x13-episode-13	1	1.2%
https://www.tvmaze.com/episodes/1976137/insect-detective-1x24-episode-24	1	1.2%
https://www.tvmaze.com/episodes/1976136/insect-detective-1x23-episode-23	1	1.2%
Other values (70)	70	87.5%

Length

Histogram of lengths of the category

Value	Count	Frequency (%)
https://www.tvmaze.com/episodes/1972782/kontakty-1x28-kontakty-v-telefone-sergea-lazareva-timati-polina-gagarina-vlad-topalov-ida-galic	1	1.2%
https://www.tvmaze.com/episodes/1979223/kotiki-1x03-seria-3	1	1.2%
https://www.tvmaze.com/episodes/1971567/mermaid-prince-2x07-episode-7	1	1.2%
https://www.tvmaze.com/episodes/1983072/wan-sheng-jie-2x10-all-products-funds-were-spent-on-this-episode	1	1.2%
https://www.tvmaze.com/episodes/1985615/yi-nian-yong-heng-1x19-episode-19	1	1.2%
https://www.tvmaze.com/episodes/2030018/dolls-frontline-2x10-episode-10	1	1.2%
https://www.tvmaze.com/episodes/1973540/please-wait-brother-1x19-episode-19	1	1.2%
https://www.tvmaze.com/episodes/1973541/please-wait-brother-1x20-episode-20	1	1.2%
https://www.tvmaze.com/episodes/2066367/chu-feng-yi-dian-shizi-1x04-episode-4	1	1.2%
https://www.tvmaze.com/episodes/1982912/alex-og-aune-1x03-setter-bleik-pa-kartet	1	1.2%
Other values (70)	70	87.5%

Most occurring characters

Value	Count	Frequency (%)
e	565	8.6%
-	506	7.7%
s	425	6.5%
t	408	6.2%
/	400	6.1%
o	364	5.5%
w	278	4.2%
a	274	4.2%
i	263	4.0%
p	252	3.8%
Other values (30)	2848	43.3%

Most occurring categories

Value	Count	Frequency (%)
Lowercase Letter	4513	68.6%
Decimal Number	924	14.0%
Other Punctuation	640	9.7%
Dash Punctuation	506	7.7%

Most frequent character per category

Lowercase Letter

Value	Count	Frequency (%)
e	565	12.5%
s	425	9.4%
t	408	9.0%
o	364	8.1%
w	278	6.2%
a	274	6.1%
i	263	5.8%
p	252	5.6%
m	229	5.1%
d	193	4.3%
Other values (16)	1262	28.0%

Decimal Number

Value	Count	Frequency (%)
1	222	24.0%
2	124	13.4%
0	115	12.4%
9	106	11.5%
7	86	9.3%
8	57	6.2%
4	56	6.1%
6	55	6.0%
3	53	5.7%
5	50	5.4%

Other Punctuation

Value	Count	Frequency (%)
/	400	62.5%
.	160	25.0%
:	80	12.5%

Dash Punctuation

Value	Count	Frequency (%)
-	506	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Latin	4513	68.6%
Common	2070	31.4%

Most frequent character per script

Latin

Value	Count	Frequency (%)
e	565	12.5%
s	425	9.4%
t	408	9.0%
o	364	8.1%
w	278	6.2%
a	274	6.1%
i	263	5.8%
p	252	5.6%
m	229	5.1%
d	193	4.3%
Other values (16)	1262	28.0%

Common

Value	Count	Frequency (%)
-	506	24.4%
/	400	19.3%
1	222	10.7%
.	160	7.7%
2	124	6.0%
0	115	5.6%
9	106	5.1%
7	86	4.2%
:	80	3.9%
8	57	2.8%
Other values (4)	214	10.3%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	6583	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
e	565	8.6%
-	506	7.7%
s	425	6.5%
t	408	6.2%
/	400	6.1%
o	364	5.5%
w	278	4.2%
a	274	4.2%
i	263	4.0%
p	252	3.8%
Other values (30)	2848	43.3%

name
Categorical

HIGH CARDINALITY
HIGH CORRELATION
HIGH CORRELATION
UNIFORM

Distinct	69
Distinct (%)	86.2%
Missing	0
Missing (%)	0.0%
Memory size	768.0 B

Episode 19	4
Episode 10	3
Episode 2	2
Episode 7	2
Episode 20	2
Other values (64)	67

Length

Max length	86
Median length	69
Mean length	20.3375
Min length	4

Characters and Unicode

Total characters	1627
Distinct characters	128
Distinct categories	9 ?
Distinct scripts	3 ?
Distinct blocks	3 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	61 ?
Unique (%)	76.2%

Sample

1st row	КОНТАКТЫ в телефоне Сергея Лазарева: Тимати, Полина Гагарина, Влад Топалов, Ида Галич
2nd row	Серия 3
3rd row	Episode 7
4th row	All products funds were spent on this episode
5th row	Episode 19

Common Values

Value	Count	Frequency (%)
Episode 19	4	5.0%
Episode 10	3	3.8%
Episode 2	2	2.5%
Episode 7	2	2.5%
Episode 20	2	2.5%
Episode 9	2	2.5%
Episode 14	2	2.5%
Episode 13	2	2.5%
Episode 23	1	1.2%
Episode 1	1	1.2%
Other values (59)	59	73.8%

Length

Histogram of lengths of the category

Value	Count	Frequency (%)
episode	34	12.5%
	5	1.8%
19	4	1.5%
10	3	1.1%
2	3	1.1%
7	3	1.1%
the	3	1.1%
9	3	1.1%
14	3	1.1%
a	3	1.1%
Other values (198)	207	76.4%

Most occurring characters

Value	Count	Frequency (%)
	191	11.7%
e	126	7.7%
o	89	5.5%
i	77	4.7%
s	67	4.1%
a	63	3.9%
d	58	3.6%
t	56	3.4%
r	55	3.4%
p	51	3.1%
Other values (118)	794	48.8%

Most occurring categories

Value	Count	Frequency (%)
Lowercase Letter	1068	65.6%
Uppercase Letter	250	15.4%
Space Separator	191	11.7%
Decimal Number	83	5.1%
Other Punctuation	28	1.7%
Close Punctuation	2	0.1%
Open Punctuation	2	0.1%
Math Symbol	2	0.1%
Dash Punctuation	1	0.1%

Most frequent character per category

Lowercase Letter

Value	Count	Frequency (%)
e	126	11.8%
o	89	8.3%
i	77	7.2%
s	67	6.3%
a	63	5.9%
d	58	5.4%
t	56	5.2%
r	55	5.1%
p	51	4.8%
n	42	3.9%
Other values (53)	384	36.0%

Uppercase Letter

Value	Count	Frequency (%)
E	40	16.0%
S	17	6.8%
T	12	4.8%
C	12	4.8%
A	12	4.8%
Т	11	4.4%
B	10	4.0%
D	8	3.2%
H	7	2.8%
О	7	2.8%
Other values (33)	114	45.6%

Decimal Number

Value	Count	Frequency (%)
1	22	26.5%
2	16	19.3%
0	10	12.0%
4	9	10.8%
7	8	9.6%
9	8	9.6%
3	5	6.0%
5	2	2.4%
6	2	2.4%
8	1	1.2%

Other Punctuation

Value	Count	Frequency (%)
,	14	50.0%
:	4	14.3%
.	3	10.7%
"	2	7.1%
!	2	7.1%
&	2	7.1%
/	1	3.6%

Space Separator

Value	Count	Frequency (%)
	191	100.0%

Close Punctuation

Value	Count	Frequency (%)
)	2	100.0%

Open Punctuation

Value	Count	Frequency (%)
(	2	100.0%

Math Symbol

Value	Count	Frequency (%)
\|	2	100.0%

Dash Punctuation

Value	Count	Frequency (%)
-	1	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Latin	1035	63.6%
Common	309	19.0%
Cyrillic	283	17.4%

Most frequent character per script

Latin

Value	Count	Frequency (%)
e	126	12.2%
o	89	8.6%
i	77	7.4%
s	67	6.5%
a	63	6.1%
d	58	5.6%
t	56	5.4%
r	55	5.3%
p	51	4.9%
n	42	4.1%
Other values (46)	351	33.9%

Cyrillic

Value	Count	Frequency (%)
а	29	10.2%
о	20	7.1%
и	17	6.0%
е	16	5.7%
л	14	4.9%
н	14	4.9%
р	13	4.6%
Т	11	3.9%
к	11	3.9%
в	9	3.2%
Other values (40)	129	45.6%

Common

Value	Count	Frequency (%)
	191	61.8%
1	22	7.1%
2	16	5.2%
,	14	4.5%
0	10	3.2%
4	9	2.9%
7	8	2.6%
9	8	2.6%
3	5	1.6%
:	4	1.3%
Other values (12)	22	7.1%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	1337	82.2%
Cyrillic	283	17.4%
None	7	0.4%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
	191	14.3%
e	126	9.4%
o	89	6.7%
i	77	5.8%
s	67	5.0%
a	63	4.7%
d	58	4.3%
t	56	4.2%
r	55	4.1%
p	51	3.8%
Other values (62)	504	37.7%

Cyrillic

Value	Count	Frequency (%)
а	29	10.2%
о	20	7.1%
и	17	6.0%
е	16	5.7%
л	14	4.9%
н	14	4.9%
р	13	4.6%
Т	11	3.9%
к	11	3.9%
в	9	3.2%
Other values (40)	129	45.6%

None

Value	Count	Frequency (%)
ø	2	28.6%
á	1	14.3%
í	1	14.3%
ó	1	14.3%
å	1	14.3%
æ	1	14.3%

season
Real number (ℝ_≥0)

HIGH CORRELATION
HIGH CORRELATION

Distinct	13
Distinct (%)	16.2%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	154.1125

Minimum	1
Maximum	2020
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	768.0 B

Quantile statistics

Minimum	1
5-th percentile	1
Q1	1
median	1
Q3	3.25
95-th percentile	2020
Maximum	2020
Range	2019
Interquartile range (IQR)	2.25

Descriptive statistics

Standard deviation	534.6767625
Coefficient of variation (CV)	3.46939257
Kurtosis	9.042321396
Mean	154.1125
Median Absolute Deviation (MAD)	0
Skewness	3.288743522
Sum	12329
Variance	285879.2403
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=13)

Value	Count	Frequency (%)
1	48	60.0%
2	9	11.2%
2020	6	7.5%
4	4	5.0%
3	3	3.8%
7	3	3.8%
10	1	1.2%
11	1	1.2%
5	1	1.2%
18	1	1.2%
Other values (3)	3	3.8%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
1	48	60.0%
2	9	11.2%
3	3	3.8%
4	4	5.0%
5	1	1.2%
7	3	3.8%
8	1	1.2%
10	1	1.2%
11	1	1.2%
14	1	1.2%

Value	Count	Frequency (%)
2020	6	7.5%
31	1	1.2%
18	1	1.2%
14	1	1.2%
11	1	1.2%
10	1	1.2%
8	1	1.2%
7	3	3.8%
5	1	1.2%
4	4	5.0%

number
Real number (ℝ_≥0)

HIGH CORRELATION
HIGH CORRELATION
MISSING

Distinct	42
Distinct (%)	53.2%
Missing	1
Missing (%)	1.2%
Infinite	0
Infinite (%)	0.0%
Mean	30.18987342

Minimum	1
Maximum	329
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	768.0 B

Quantile statistics

Minimum	1
5-th percentile	1.9
Q1	7
median	15
Q3	28
95-th percentile	95.2
Maximum	329
Range	328
Interquartile range (IQR)	21

Descriptive statistics

Standard deviation	52.15240879
Coefficient of variation (CV)	1.727480207
Kurtosis	20.52011907
Mean	30.18987342
Median Absolute Deviation (MAD)	9
Skewness	4.23973593
Sum	2385
Variance	2719.873742
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=42)

Value	Count	Frequency (%)
19	5	6.2%
17	4	5.0%
10	4	5.0%
4	4	5.0%
9	4	5.0%
2	4	5.0%
1	4	5.0%
3	3	3.8%
7	3	3.8%
11	3	3.8%
Other values (32)	41	51.2%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
1	4	5.0%
2	4	5.0%
3	3	3.8%
4	4	5.0%
5	1	1.2%
6	2	2.5%
7	3	3.8%
8	2	2.5%
9	4	5.0%
10	4	5.0%

Value	Count	Frequency (%)
329	1	1.2%
288	1	1.2%
143	1	1.2%
106	1	1.2%
94	1	1.2%
82	1	1.2%
77	1	1.2%
60	1	1.2%
57	1	1.2%
55	2	2.5%

type
Categorical

HIGH CORRELATION
HIGH CORRELATION

Distinct	2
Distinct (%)	2.5%
Missing	0
Missing (%)	0.0%
Memory size	768.0 B

regular	79
significant_special	1

Length

Max length	19
Median length	7
Mean length	7.15
Min length	7

Characters and Unicode

Total characters	572
Distinct characters	14
Distinct categories	2 ?
Distinct scripts	2 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	1 ?
Unique (%)	1.2%

Sample

1st row	regular
2nd row	regular
3rd row	regular
4th row	regular
5th row	regular

Common Values

Value	Count	Frequency (%)
regular	79	98.8%
significant_special	1	1.2%

Length

Histogram of lengths of the category

Category Frequency Plot

Value	Count	Frequency (%)
regular	79	98.8%
significant_special	1	1.2%

Most occurring characters

Value	Count	Frequency (%)
r	158	27.6%
a	81	14.2%
e	80	14.0%
g	80	14.0%
l	80	14.0%
u	79	13.8%
i	4	0.7%
s	2	0.3%
n	2	0.3%
c	2	0.3%
Other values (4)	4	0.7%

Most occurring categories

Value	Count	Frequency (%)
Lowercase Letter	571	99.8%
Connector Punctuation	1	0.2%

Most frequent character per category

Lowercase Letter

Value	Count	Frequency (%)
r	158	27.7%
a	81	14.2%
e	80	14.0%
g	80	14.0%
l	80	14.0%
u	79	13.8%
i	4	0.7%
s	2	0.4%
n	2	0.4%
c	2	0.4%
Other values (3)	3	0.5%

Connector Punctuation

Value	Count	Frequency (%)
_	1	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Latin	571	99.8%
Common	1	0.2%

Most frequent character per script

Latin

Value	Count	Frequency (%)
r	158	27.7%
a	81	14.2%
e	80	14.0%
g	80	14.0%
l	80	14.0%
u	79	13.8%
i	4	0.7%
s	2	0.4%
n	2	0.4%
c	2	0.4%
Other values (3)	3	0.5%

Common

Value	Count	Frequency (%)
_	1	100.0%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	572	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
r	158	27.6%
a	81	14.2%
e	80	14.0%
g	80	14.0%
l	80	14.0%
u	79	13.8%
i	4	0.7%
s	2	0.3%
n	2	0.3%
c	2	0.3%
Other values (4)	4	0.7%

airdate
Categorical

CONSTANT
HIGH CORRELATION
REJECTED

Distinct	1
Distinct (%)	1.2%
Missing	0
Missing (%)	0.0%
Memory size	768.0 B

2020-12-02	80

Length

Max length	10
Median length	10
Mean length	10
Min length	10

Characters and Unicode

Total characters	800
Distinct characters	4
Distinct categories	2 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	2020-12-02
2nd row	2020-12-02
3rd row	2020-12-02
4th row	2020-12-02
5th row	2020-12-02

Common Values

Value	Count	Frequency (%)
2020-12-02	80	100.0%

Length

Histogram of lengths of the category

Category Frequency Plot

Value	Count	Frequency (%)
2020-12-02	80	100.0%

Most occurring characters

Value	Count	Frequency (%)
2	320	40.0%
0	240	30.0%
-	160	20.0%
1	80	10.0%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	640	80.0%
Dash Punctuation	160	20.0%

Most frequent character per category

Decimal Number

Value	Count	Frequency (%)
2	320	50.0%
0	240	37.5%
1	80	12.5%

Dash Punctuation

Value	Count	Frequency (%)
-	160	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Common	800	100.0%

Most frequent character per script

Common

Value	Count	Frequency (%)
2	320	40.0%
0	240	30.0%
-	160	20.0%
1	80	10.0%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	800	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
2	320	40.0%
0	240	30.0%
-	160	20.0%
1	80	10.0%

airtime
Categorical

HIGH CORRELATION
HIGH CORRELATION

Distinct	15
Distinct (%)	18.8%
Missing	0
Missing (%)	0.0%
Memory size	768.0 B

nan	42
20:00	17
12:00	4
10:00	3
06:00	2
Other values (10)	12

Length

Max length	5
Median length	3
Mean length	3.95
Min length	3

Characters and Unicode

Total characters	316
Distinct characters	12
Distinct categories	3 ?
Distinct scripts	2 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	8 ?
Unique (%)	10.0%

Sample

1st row	12:00
2nd row	nan
3rd row	11:00
4th row	10:00
5th row	10:00

Common Values

Value	Count	Frequency (%)
nan	42	52.5%
20:00	17	21.2%
12:00	4	5.0%
10:00	3	3.8%
06:00	2	2.5%
21:00	2	2.5%
00:00	2	2.5%
11:00	1	1.2%
05:00	1	1.2%
17:35	1	1.2%
Other values (5)	5	6.2%

Length

Histogram of lengths of the category

Value	Count	Frequency (%)
nan	42	52.5%
20:00	17	21.2%
12:00	4	5.0%
10:00	3	3.8%
06:00	2	2.5%
21:00	2	2.5%
00:00	2	2.5%
11:00	1	1.2%
05:00	1	1.2%
17:35	1	1.2%
Other values (5)	5	6.2%

Most occurring characters

Value	Count	Frequency (%)
0	98	31.0%
n	84	26.6%
a	42	13.3%
:	38	12.0%
2	25	7.9%
1	17	5.4%
5	4	1.3%
6	2	0.6%
3	2	0.6%
8	2	0.6%
Other values (2)	2	0.6%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	152	48.1%
Lowercase Letter	126	39.9%
Other Punctuation	38	12.0%

Most frequent character per category

Decimal Number

Value	Count	Frequency (%)
0	98	64.5%
2	25	16.4%
1	17	11.2%
5	4	2.6%
6	2	1.3%
3	2	1.3%
8	2	1.3%
7	1	0.7%
9	1	0.7%

Lowercase Letter

Value	Count	Frequency (%)
n	84	66.7%
a	42	33.3%

Other Punctuation

Value	Count	Frequency (%)
:	38	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Common	190	60.1%
Latin	126	39.9%

Most frequent character per script

Common

Value	Count	Frequency (%)
0	98	51.6%
:	38	20.0%
2	25	13.2%
1	17	8.9%
5	4	2.1%
6	2	1.1%
3	2	1.1%
8	2	1.1%
7	1	0.5%
9	1	0.5%

Latin

Value	Count	Frequency (%)
n	84	66.7%
a	42	33.3%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	316	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
0	98	31.0%
n	84	26.6%
a	42	13.3%
:	38	12.0%
2	25	7.9%
1	17	5.4%
5	4	1.3%
6	2	0.6%
3	2	0.6%
8	2	0.6%
Other values (2)	2	0.6%

airstamp
Categorical

HIGH CORRELATION
HIGH CORRELATION

Distinct	21
Distinct (%)	26.2%
Missing	0
Missing (%)	0.0%
Memory size	768.0 B

2020-12-02T12:00:00+00:00	44
2020-12-02T04:00:00+00:00	7
2020-12-02T11:00:00+00:00	4
2020-12-02T02:00:00+00:00	3
2020-12-02T17:00:00+00:00	3
Other values (16)	19

Length

Max length	25
Median length	25
Mean length	25
Min length	25

Characters and Unicode

Total characters	2000
Distinct characters	13
Distinct categories	5 ?
Distinct scripts	2 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	13 ?
Unique (%)	16.2%

Sample

1st row	2020-12-02T00:00:00+00:00
2nd row	2020-12-02T00:00:00+00:00
3rd row	2020-12-02T02:00:00+00:00
4th row	2020-12-02T02:00:00+00:00
5th row	2020-12-02T02:00:00+00:00

Common Values

Value	Count	Frequency (%)
2020-12-02T12:00:00+00:00	44	55.0%
2020-12-02T04:00:00+00:00	7	8.8%
2020-12-02T11:00:00+00:00	4	5.0%
2020-12-02T02:00:00+00:00	3	3.8%
2020-12-02T17:00:00+00:00	3	3.8%
2020-12-02T15:00:00+00:00	2	2.5%
2020-12-02T13:00:00+00:00	2	2.5%
2020-12-02T00:00:00+00:00	2	2.5%
2020-12-02T09:30:00+00:00	1	1.2%
2020-12-02T10:00:00+00:00	1	1.2%
Other values (11)	11	13.8%

Length

Histogram of lengths of the category

Value	Count	Frequency (%)
2020-12-02t12:00:00+00:00	44	55.0%
2020-12-02t04:00:00+00:00	7	8.8%
2020-12-02t11:00:00+00:00	4	5.0%
2020-12-02t02:00:00+00:00	3	3.8%
2020-12-02t17:00:00+00:00	3	3.8%
2020-12-02t15:00:00+00:00	2	2.5%
2020-12-02t13:00:00+00:00	2	2.5%
2020-12-02t00:00:00+00:00	2	2.5%
2020-12-02t05:35:00+00:00	1	1.2%
2020-12-03t02:25:00+00:00	1	1.2%
Other values (11)	11	13.8%

Most occurring characters

Value	Count	Frequency (%)
0	900	45.0%
2	367	18.4%
:	240	12.0%
-	160	8.0%
1	143	7.1%
T	80	4.0%
+	80	4.0%
4	8	0.4%
5	7	0.4%
3	7	0.4%
Other values (3)	8	0.4%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	1440	72.0%
Other Punctuation	240	12.0%
Dash Punctuation	160	8.0%
Uppercase Letter	80	4.0%
Math Symbol	80	4.0%

Most frequent character per category

Decimal Number

Value	Count	Frequency (%)
0	900	62.5%
2	367	25.5%
1	143	9.9%
4	8	0.6%
5	7	0.5%
3	7	0.5%
7	4	0.3%
9	3	0.2%
6	1	0.1%

Other Punctuation

Value	Count	Frequency (%)
:	240	100.0%

Dash Punctuation

Value	Count	Frequency (%)
-	160	100.0%

Uppercase Letter

Value	Count	Frequency (%)
T	80	100.0%

Math Symbol

Value	Count	Frequency (%)
+	80	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Common	1920	96.0%
Latin	80	4.0%

Most frequent character per script

Common

Value	Count	Frequency (%)
0	900	46.9%
2	367	19.1%
:	240	12.5%
-	160	8.3%
1	143	7.4%
+	80	4.2%
4	8	0.4%
5	7	0.4%
3	7	0.4%
7	4	0.2%
Other values (2)	4	0.2%

Latin

Value	Count	Frequency (%)
T	80	100.0%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	2000	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
0	900	45.0%
2	367	18.4%
:	240	12.0%
-	160	8.0%
1	143	7.1%
T	80	4.0%
+	80	4.0%
4	8	0.4%
5	7	0.4%
3	7	0.4%
Other values (3)	8	0.4%

runtime
Real number (ℝ_≥0)

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
MISSING

Distinct	33
Distinct (%)	44.6%
Missing	6
Missing (%)	7.5%
Infinite	0
Infinite (%)	0.0%
Mean	39.97297297

Minimum	2
Maximum	300
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	768.0 B

Quantile statistics

Minimum	2
5-th percentile	5
Q1	19
median	37
Q3	45
95-th percentile	120
Maximum	300
Range	298
Interquartile range (IQR)	26

Descriptive statistics

Standard deviation	40.85858437
Coefficient of variation (CV)	1.022155255
Kurtosis	22.40931821
Mean	39.97297297
Median Absolute Deviation (MAD)	11.5
Skewness	3.987549571
Sum	2958
Variance	1669.423917
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=33)

Value	Count	Frequency (%)
45	20	25.0%
5	7	8.8%
30	4	5.0%
25	3	3.8%
19	3	3.8%
120	2	2.5%
35	2	2.5%
41	2	2.5%
13	2	2.5%
60	2	2.5%
Other values (23)	27	33.8%
(Missing)	6	7.5%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
2	1	1.2%
4	1	1.2%
5	7	8.8%
7	1	1.2%
9	1	1.2%
11	1	1.2%
12	1	1.2%
13	2	2.5%
14	1	1.2%
15	2	2.5%

Value	Count	Frequency (%)
300	1	1.2%
128	1	1.2%
121	1	1.2%
120	2	2.5%
90	1	1.2%
69	1	1.2%
60	2	2.5%
48	1	1.2%
47	1	1.2%
45	20	25.0%

summary
Categorical

HIGH CORRELATION
HIGH CORRELATION

Distinct	13
Distinct (%)	16.2%
Missing	0
Missing (%)	0.0%
Memory size	768.0 B

nan	67
<p>Twin stars create an oxygen-rich atmosphere on Eden, where a teeming biosphere may parallel seasonal cycles of predation and reproduction on Earth.</p>	2
<p>Katya's ready for love, and she wants to do it now. Trixie explains to her what love is, and Katya designs her perfect man.</p>	1
<p>This issue could be a continuation of the series Better Houses about Castles of Ukraine. But Zhenya Sinelnikov decided to show us a slightly different route. Following from Kiev to Lviv, we will stop at a picturesque canyon, show a place with houses, right for a photo on Instagram, visit the famous tunnel of love. First of all, we will show the Ukrainian Disneyland - Victoria film studio, there is even a real Iron Throne! Next, we are waiting for the autumn Radomyshl, a visit to a shelter for bears, and at the end of the three castles of Ukraine - Pidhretsky Castle, Zolochy Castle, Olesky Castle.</p>	1
<p>Настало время расплаты и жестких вопросов для Владимира Маркони от ковбоев, амазонок и Сергея Мезенцева. Смотрим!</p>	1
Other values (8)	8

Length

Max length	610
Median length	3
Mean length	38.775
Min length	3

Characters and Unicode

Total characters	3102
Distinct characters	96
Distinct categories	9 ?
Distinct scripts	3 ?
Distinct blocks	4 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	11 ?
Unique (%)	13.8%

Sample

1st row	nan
2nd row	nan
3rd row	nan
4th row	nan
5th row	nan

Common Values

Value	Count	Frequency (%)
nan	67	83.8%
<p>Twin stars create an oxygen-rich atmosphere on Eden, where a teeming biosphere may parallel seasonal cycles of predation and reproduction on Earth.</p>	2	2.5%
<p>Katya's ready for love, and she wants to do it now. Trixie explains to her what love is, and Katya designs her perfect man.</p>	1	1.2%
<p>This issue could be a continuation of the series Better Houses about Castles of Ukraine. But Zhenya Sinelnikov decided to show us a slightly different route. Following from Kiev to Lviv, we will stop at a picturesque canyon, show a place with houses, right for a photo on Instagram, visit the famous tunnel of love. First of all, we will show the Ukrainian Disneyland - Victoria film studio, there is even a real Iron Throne! Next, we are waiting for the autumn Radomyshl, a visit to a shelter for bears, and at the end of the three castles of Ukraine - Pidhretsky Castle, Zolochy Castle, Olesky Castle.</p>	1	1.2%
<p>Настало время расплаты и жестких вопросов для Владимира Маркони от ковбоев, амазонок и Сергея Мезенцева. Смотрим!</p>	1	1.2%
<p>During their occupation of large parts of Europe, the Nazis systematically looted foreign countries for art, gold and other items holding financial or cultural value. Often for any larger purpose, but for their own, egocentric, criminal gain.</p>	1	1.2%
<p>Science and technology is marching on as the world enters the 1920's. But Americans have more to reckon with than just a new decade: every state in the country has gone "dry".</p>	1	1.2%
<p>On exoplanet Atlas, dense gravity creates a thick atmosphere allowing airborne life forms to thrive — but also providing a lesson in adaptability.</p>	1	1.2%
<p>Ants, scorpions and fireflies provide clues for biologists to conjecture about life on exoplanet Janus, including highly adaptable pentapods.</p>	1	1.2%
<p>Welcome to the SEASON 2 of our spooky and now FESTIVE show- Too Many Spirits! Join us as we read your submitted holiday ghost stories and enjoy cocktails prepared by freshman bartender, Steven Lim.</p>	1	1.2%
Other values (3)	3	3.8%

Length

Histogram of lengths of the category

Value	Count	Frequency (%)
nan	67	12.5%
the	21	3.9%
and	15	2.8%
to	15	2.8%
a	14	2.6%
of	13	2.4%
for	9	1.7%
on	7	1.3%
but	5	0.9%
frankenstein	4	0.7%
Other values (301)	365	68.2%

Most occurring characters

Value	Count	Frequency (%)
	454	14.6%
n	301	9.7%
a	244	7.9%
e	242	7.8%
o	189	6.1%
t	178	5.7%
i	146	4.7%
s	142	4.6%
r	135	4.4%
l	89	2.9%
Other values (86)	982	31.7%

Most occurring categories

Value	Count	Frequency (%)
Lowercase Letter	2386	76.9%
Space Separator	455	14.7%
Uppercase Letter	111	3.6%
Other Punctuation	81	2.6%
Math Symbol	52	1.7%
Dash Punctuation	6	0.2%
Decimal Number	5	0.2%
Open Punctuation	3	0.1%
Close Punctuation	3	0.1%

Most frequent character per category

Lowercase Letter

Value	Count	Frequency (%)
n	301	12.6%
a	244	10.2%
e	242	10.1%
o	189	7.9%
t	178	7.5%
i	146	6.1%
s	142	6.0%
r	135	5.7%
l	89	3.7%
h	88	3.7%
Other values (38)	632	26.5%

Uppercase Letter

Value	Count	Frequency (%)
R	11	9.9%
T	11	9.9%
F	10	9.0%
S	8	7.2%
E	8	7.2%
C	7	6.3%
B	5	4.5%
H	5	4.5%
A	5	4.5%
O	4	3.6%
Other values (16)	37	33.3%

Other Punctuation

Value	Count	Frequency (%)
,	33	40.7%
.	20	24.7%
/	13	16.0%
!	5	6.2%
'	4	4.9%
"	2	2.5%
;	1	1.2%
:	1	1.2%
&	1	1.2%
?	1	1.2%

Decimal Number

Value	Count	Frequency (%)
2	2	40.0%
0	1	20.0%
9	1	20.0%
1	1	20.0%

Space Separator

Value	Count	Frequency (%)
	454	99.8%
	1	0.2%

Math Symbol

Value	Count	Frequency (%)
<	26	50.0%
>	26	50.0%

Dash Punctuation

Value	Count	Frequency (%)
-	5	83.3%
—	1	16.7%

Open Punctuation

Value	Count	Frequency (%)
(	3	100.0%

Close Punctuation

Value	Count	Frequency (%)
)	3	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Latin	2402	77.4%
Common	605	19.5%
Cyrillic	95	3.1%

Most frequent character per script

Latin

Value	Count	Frequency (%)
n	301	12.5%
a	244	10.2%
e	242	10.1%
o	189	7.9%
t	178	7.4%
i	146	6.1%
s	142	5.9%
r	135	5.6%
l	89	3.7%
h	88	3.7%
Other values (38)	648	27.0%

Cyrillic

Value	Count	Frequency (%)
о	11	11.6%
а	10	10.5%
е	8	8.4%
р	7	7.4%
и	7	7.4%
в	6	6.3%
т	5	5.3%
м	5	5.3%
л	4	4.2%
с	4	4.2%
Other values (16)	28	29.5%

Common

Value	Count	Frequency (%)
	454	75.0%
,	33	5.5%
<	26	4.3%
>	26	4.3%
.	20	3.3%
/	13	2.1%
!	5	0.8%
-	5	0.8%
'	4	0.7%
(	3	0.5%
Other values (12)	16	2.6%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	3005	96.9%
Cyrillic	95	3.1%
Punctuation	1	< 0.1%
None	1	< 0.1%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
	454	15.1%
n	301	10.0%
a	244	8.1%
e	242	8.1%
o	189	6.3%
t	178	5.9%
i	146	4.9%
s	142	4.7%
r	135	4.5%
l	89	3.0%
Other values (58)	885	29.5%

Cyrillic

Value	Count	Frequency (%)
о	11	11.6%
а	10	10.5%
е	8	8.4%
р	7	7.4%
и	7	7.4%
в	6	6.3%
т	5	5.3%
м	5	5.3%
л	4	4.2%
с	4	4.2%
Other values (16)	28	29.5%

Punctuation

Value	Count	Frequency (%)
—	1	100.0%

None

Value	Count	Frequency (%)
	1	100.0%

_embedded_show_id
Real number (ℝ_≥0)

HIGH CORRELATION

Distinct	66
Distinct (%)	82.5%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	47544.55

Minimum	2266
Maximum	61755
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	768.0 B

Quantile statistics

Minimum	2266
5-th percentile	26202.75
Q1	46057.25
median	51870
Q3	52292.75
95-th percentile	57989.8
Maximum	61755
Range	59489
Interquartile range (IQR)	6235.5

Descriptive statistics

Standard deviation	11313.18894
Coefficient of variation (CV)	0.2379492274
Kurtosis	5.694152009
Mean	47544.55
Median Absolute Deviation (MAD)	2745
Skewness	-2.24664181
Sum	3803564
Variance	127988244
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
51927	4	5.0%
58689	2	2.5%
52106	2	2.5%
52421	2	2.5%
52780	2	2.5%
52159	2	2.5%
52108	2	2.5%
52107	2	2.5%
57030	2	2.5%
52104	2	2.5%
Other values (56)	58	72.5%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
2266	1	1.2%
2504	1	1.2%
15250	1	1.2%
24963	1	1.2%
26268	1	1.2%
27055	1	1.2%
28346	1	1.2%
30606	1	1.2%
33691	1	1.2%
33944	1	1.2%

Value	Count	Frequency (%)
61755	1	1.2%
59555	1	1.2%
58689	2	2.5%
57953	1	1.2%
57689	1	1.2%
57478	1	1.2%
57030	2	2.5%
56746	1	1.2%
56531	1	1.2%
56064	1	1.2%

_embedded_show_url
Categorical

HIGH CARDINALITY
HIGH CORRELATION
HIGH CORRELATION
UNIFORM

Distinct	66
Distinct (%)	82.5%
Missing	0
Missing (%)	0.0%
Memory size	768.0 B

https://www.tvmaze.com/shows/51927/alien-worlds	4
https://www.tvmaze.com/shows/58689/my-supernatural-power	2
https://www.tvmaze.com/shows/52106/insect-detective	2
https://www.tvmaze.com/shows/52421/you-complete-me	2
https://www.tvmaze.com/shows/52780/mermaid-prince	2
Other values (61)	68

Length

Max length	73
Median length	61
Mean length	50.825
Min length	41

Characters and Unicode

Total characters	4066
Distinct characters	39
Distinct categories	4 ?
Distinct scripts	2 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	54 ?
Unique (%)	67.5%

Sample

1st row	https://www.tvmaze.com/shows/49630/kontakty
2nd row	https://www.tvmaze.com/shows/52198/kotiki
3rd row	https://www.tvmaze.com/shows/47207/mermaid-prince
4th row	https://www.tvmaze.com/shows/48395/wan-sheng-jie
5th row	https://www.tvmaze.com/shows/49652/yi-nian-yong-heng

Common Values

Value	Count	Frequency (%)
https://www.tvmaze.com/shows/51927/alien-worlds	4	5.0%
https://www.tvmaze.com/shows/58689/my-supernatural-power	2	2.5%
https://www.tvmaze.com/shows/52106/insect-detective	2	2.5%
https://www.tvmaze.com/shows/52421/you-complete-me	2	2.5%
https://www.tvmaze.com/shows/52780/mermaid-prince	2	2.5%
https://www.tvmaze.com/shows/52159/to-love	2	2.5%
https://www.tvmaze.com/shows/52108/psych-hunter	2	2.5%
https://www.tvmaze.com/shows/52107/new-face	2	2.5%
https://www.tvmaze.com/shows/57030/gjor-det-sjol	2	2.5%
https://www.tvmaze.com/shows/52104/twisted-fate-of-love	2	2.5%
Other values (56)	58	72.5%

Length

Histogram of lengths of the category

Value	Count	Frequency (%)
https://www.tvmaze.com/shows/51927/alien-worlds	4	5.0%
https://www.tvmaze.com/shows/52107/new-face	2	2.5%
https://www.tvmaze.com/shows/58689/my-supernatural-power	2	2.5%
https://www.tvmaze.com/shows/51870/something-just-like-this	2	2.5%
https://www.tvmaze.com/shows/52038/please-wait-brother	2	2.5%
https://www.tvmaze.com/shows/52104/twisted-fate-of-love	2	2.5%
https://www.tvmaze.com/shows/57030/gjor-det-sjol	2	2.5%
https://www.tvmaze.com/shows/52108/psych-hunter	2	2.5%
https://www.tvmaze.com/shows/52159/to-love	2	2.5%
https://www.tvmaze.com/shows/52780/mermaid-prince	2	2.5%
Other values (56)	58	72.5%

Most occurring characters

Value	Count	Frequency (%)
/	400	9.8%
w	349	8.6%
t	325	8.0%
s	322	7.9%
o	243	6.0%
e	219	5.4%
h	200	4.9%
m	200	4.9%
.	160	3.9%
a	158	3.9%
Other values (29)	1490	36.6%

Most occurring categories

Value	Count	Frequency (%)
Lowercase Letter	2877	70.8%
Other Punctuation	640	15.7%
Decimal Number	403	9.9%
Dash Punctuation	146	3.6%

Most frequent character per category

Lowercase Letter

Value	Count	Frequency (%)
w	349	12.1%
t	325	11.3%
s	322	11.2%
o	243	8.4%
e	219	7.6%
h	200	7.0%
m	200	7.0%
a	158	5.5%
c	110	3.8%
p	105	3.6%
Other values (15)	646	22.5%

Decimal Number

Value	Count	Frequency (%)
5	73	18.1%
4	48	11.9%
1	45	11.2%
2	43	10.7%
0	36	8.9%
7	35	8.7%
6	34	8.4%
9	32	7.9%
3	31	7.7%
8	26	6.5%

Other Punctuation

Value	Count	Frequency (%)
/	400	62.5%
.	160	25.0%
:	80	12.5%

Dash Punctuation

Value	Count	Frequency (%)
-	146	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Latin	2877	70.8%
Common	1189	29.2%

Most frequent character per script

Latin

Value	Count	Frequency (%)
w	349	12.1%
t	325	11.3%
s	322	11.2%
o	243	8.4%
e	219	7.6%
h	200	7.0%
m	200	7.0%
a	158	5.5%
c	110	3.8%
p	105	3.6%
Other values (15)	646	22.5%

Common

Value	Count	Frequency (%)
/	400	33.6%
.	160	13.5%
-	146	12.3%
:	80	6.7%
5	73	6.1%
4	48	4.0%
1	45	3.8%
2	43	3.6%
0	36	3.0%
7	35	2.9%
Other values (4)	123	10.3%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	4066	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
/	400	9.8%
w	349	8.6%
t	325	8.0%
s	322	7.9%
o	243	6.0%
e	219	5.4%
h	200	4.9%
m	200	4.9%
.	160	3.9%
a	158	3.9%
Other values (29)	1490	36.6%

_embedded_show_name
Categorical

HIGH CARDINALITY
HIGH CORRELATION
HIGH CORRELATION
UNIFORM

Distinct	65
Distinct (%)	81.2%
Missing	0
Missing (%)	0.0%
Memory size	768.0 B

Alien Worlds	4
Mermaid Prince	3
My Supernatural Power	2
Twisted Fate of Love	2
You Complete Me	2
Other values (60)	67

Length

Max length	40
Median length	27
Mean length	16.1125
Min length	6

Characters and Unicode

Total characters	1289
Distinct characters	93
Distinct categories	5 ?
Distinct scripts	3 ?
Distinct blocks	3 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	53 ?
Unique (%)	66.2%

Sample

1st row	Контакты
2nd row	Котики
3rd row	Mermaid Prince
4th row	Wan Sheng Jie
5th row	Yi Nian Yong Heng

Common Values

Value	Count	Frequency (%)
Alien Worlds	4	5.0%
Mermaid Prince	3	3.8%
My Supernatural Power	2	2.5%
Twisted Fate of Love	2	2.5%
You Complete Me	2	2.5%
To Love	2	2.5%
Psych Hunter	2	2.5%
New Face	2	2.5%
Insect Detective	2	2.5%
Gjør det sjøl	2	2.5%
Other values (55)	57	71.2%

Length

Histogram of lengths of the category

Value	Count	Frequency (%)
the	6	2.6%
alien	4	1.8%
love	4	1.8%
worlds	4	1.8%
new	3	1.3%
of	3	1.3%
yi	3	1.3%
you	3	1.3%
prince	3	1.3%
mermaid	3	1.3%
Other values (164)	191	84.1%

Most occurring characters

Value	Count	Frequency (%)
	147	11.4%
e	126	9.8%
i	64	5.0%
o	60	4.7%
a	60	4.7%
n	59	4.6%
r	57	4.4%
s	54	4.2%
t	53	4.1%
l	45	3.5%
Other values (83)	564	43.8%

Most occurring categories

Value	Count	Frequency (%)
Lowercase Letter	913	70.8%
Uppercase Letter	206	16.0%
Space Separator	147	11.4%
Other Punctuation	18	1.4%
Decimal Number	5	0.4%

Most frequent character per category

Lowercase Letter

Value	Count	Frequency (%)
e	126	13.8%
i	64	7.0%
o	60	6.6%
a	60	6.6%
n	59	6.5%
r	57	6.2%
s	54	5.9%
t	53	5.8%
l	45	4.9%
h	35	3.8%
Other values (42)	300	32.9%

Uppercase Letter

Value	Count	Frequency (%)
T	23	11.2%
S	20	9.7%
W	16	7.8%
M	15	7.3%
P	11	5.3%
C	11	5.3%
A	10	4.9%
D	8	3.9%
Y	8	3.9%
N	8	3.9%
Other values (22)	76	36.9%

Other Punctuation

Value	Count	Frequency (%)
'	5	27.8%
:	5	27.8%
.	4	22.2%
,	3	16.7%
&	1	5.6%

Decimal Number

Value	Count	Frequency (%)
0	2	40.0%
2	2	40.0%
1	1	20.0%

Space Separator

Value	Count	Frequency (%)
	147	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Latin	1005	78.0%
Common	170	13.2%
Cyrillic	114	8.8%

Most frequent character per script

Latin

Value	Count	Frequency (%)
e	126	12.5%
i	64	6.4%
o	60	6.0%
a	60	6.0%
n	59	5.9%
r	57	5.7%
s	54	5.4%
t	53	5.3%
l	45	4.5%
h	35	3.5%
Other values (40)	392	39.0%

Cyrillic

Value	Count	Frequency (%)
о	13	11.4%
р	10	8.8%
к	9	7.9%
т	9	7.9%
е	8	7.0%
и	7	6.1%
а	7	6.1%
м	5	4.4%
с	5	4.4%
н	5	4.4%
Other values (24)	36	31.6%

Common

Value	Count	Frequency (%)
	147	86.5%
'	5	2.9%
:	5	2.9%
.	4	2.4%
,	3	1.8%
0	2	1.2%
2	2	1.2%
1	1	0.6%
&	1	0.6%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	1168	90.6%
Cyrillic	114	8.8%
None	7	0.5%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
	147	12.6%
e	126	10.8%
i	64	5.5%
o	60	5.1%
a	60	5.1%
n	59	5.1%
r	57	4.9%
s	54	4.6%
t	53	4.5%
l	45	3.9%
Other values (48)	443	37.9%

Cyrillic

Value	Count	Frequency (%)
о	13	11.4%
р	10	8.8%
к	9	7.9%
т	9	7.9%
е	8	7.0%
и	7	6.1%
а	7	6.1%
м	5	4.4%
с	5	4.4%
н	5	4.4%
Other values (24)	36	31.6%

None

Value	Count	Frequency (%)
ø	7	100.0%

_embedded_show_type
Categorical

HIGH CORRELATION
HIGH CORRELATION

Distinct	10
Distinct (%)	12.5%
Missing	0
Missing (%)	0.0%
Memory size	768.0 B

Scripted	33
Talk Show	12
Animation	9
Reality	9
Documentary	8
Other values (5)	9

Length

Max length	11
Median length	10
Mean length	8.3875
Min length	4

Characters and Unicode

Total characters	671
Distinct characters	27
Distinct categories	3 ?
Distinct scripts	2 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	2 ?
Unique (%)	2.5%

Sample

1st row	Game Show
2nd row	Scripted
3rd row	Scripted
4th row	Animation
5th row	Animation

Common Values

Value	Count	Frequency (%)
Scripted	33	41.2%
Talk Show	12	15.0%
Animation	9	11.2%
Reality	9	11.2%
Documentary	8	10.0%
Game Show	3	3.8%
Variety	2	2.5%
Sports	2	2.5%
Award Show	1	1.2%
News	1	1.2%

Length

Histogram of lengths of the category

Category Frequency Plot

Value	Count	Frequency (%)
scripted	33	34.4%
show	16	16.7%
talk	12	12.5%
animation	9	9.4%
reality	9	9.4%
documentary	8	8.3%
game	3	3.1%
variety	2	2.1%
sports	2	2.1%
award	1	1.0%

Most occurring characters

Value	Count	Frequency (%)
t	63	9.4%
i	62	9.2%
e	56	8.3%
S	51	7.6%
r	46	6.9%
a	44	6.6%
c	41	6.1%
p	35	5.2%
o	35	5.2%
d	34	5.1%
Other values (17)	204	30.4%

Most occurring categories

Value	Count	Frequency (%)
Lowercase Letter	559	83.3%
Uppercase Letter	96	14.3%
Space Separator	16	2.4%

Most frequent character per category

Lowercase Letter

Value	Count	Frequency (%)
t	63	11.3%
i	62	11.1%
e	56	10.0%
r	46	8.2%
a	44	7.9%
c	41	7.3%
p	35	6.3%
o	35	6.3%
d	34	6.1%
n	26	4.7%
Other values (8)	117	20.9%

Uppercase Letter

Value	Count	Frequency (%)
S	51	53.1%
T	12	12.5%
A	10	10.4%
R	9	9.4%
D	8	8.3%
G	3	3.1%
V	2	2.1%
N	1	1.0%

Space Separator

Value	Count	Frequency (%)
	16	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Latin	655	97.6%
Common	16	2.4%

Most frequent character per script

Latin

Value	Count	Frequency (%)
t	63	9.6%
i	62	9.5%
e	56	8.5%
S	51	7.8%
r	46	7.0%
a	44	6.7%
c	41	6.3%
p	35	5.3%
o	35	5.3%
d	34	5.2%
Other values (16)	188	28.7%

Common

Value	Count	Frequency (%)
	16	100.0%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	671	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
t	63	9.4%
i	62	9.2%
e	56	8.3%
S	51	7.6%
r	46	6.9%
a	44	6.6%
c	41	6.1%
p	35	5.2%
o	35	5.2%
d	34	5.1%
Other values (17)	204	30.4%

_embedded_show_language
Categorical

HIGH CORRELATION
HIGH CORRELATION

Distinct	17
Distinct (%)	21.2%
Missing	0
Missing (%)	0.0%
Memory size	768.0 B

Chinese	25
English	22
Russian	8
Norwegian	7
Arabic	3
Other values (12)	15

Length

Max length	10
Median length	7
Mean length	7.075
Min length	3

Characters and Unicode

Total characters	566
Distinct characters	33
Distinct categories	2 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	10 ?
Unique (%)	12.5%

Sample

1st row	Russian
2nd row	Russian
3rd row	Korean
4th row	Chinese
5th row	Chinese

Common Values

Value	Count	Frequency (%)
Chinese	25	31.2%
English	22	27.5%
Russian	8	10.0%
Norwegian	7	8.8%
Arabic	3	3.8%
Korean	3	3.8%
Japanese	2	2.5%
Ukrainian	1	1.2%
Portuguese	1	1.2%
nan	1	1.2%
Other values (7)	7	8.8%

Length

Histogram of lengths of the category

Value	Count	Frequency (%)
chinese	25	31.2%
english	22	27.5%
russian	8	10.0%
norwegian	7	8.8%
arabic	3	3.8%
korean	3	3.8%
japanese	2	2.5%
spanish	1	1.2%
kazakh	1	1.2%
swedish	1	1.2%
Other values (7)	7	8.8%

Most occurring characters

Value	Count	Frequency (%)
n	75	13.3%
i	71	12.5%
e	68	12.0%
s	68	12.0%
h	53	9.4%
a	34	6.0%
g	31	5.5%
C	25	4.4%
E	22	3.9%
l	22	3.9%
Other values (23)	97	17.1%

Most occurring categories

Value	Count	Frequency (%)
Lowercase Letter	487	86.0%
Uppercase Letter	79	14.0%

Most frequent character per category

Lowercase Letter

Value	Count	Frequency (%)
n	75	15.4%
i	71	14.6%
e	68	14.0%
s	68	14.0%
h	53	10.9%
a	34	7.0%
g	31	6.4%
l	22	4.5%
r	17	3.5%
u	12	2.5%
Other values (9)	36	7.4%

Uppercase Letter

Value	Count	Frequency (%)
C	25	31.6%
E	22	27.8%
R	8	10.1%
N	7	8.9%
K	4	5.1%
A	3	3.8%
J	2	2.5%
S	2	2.5%
U	1	1.3%
P	1	1.3%
Other values (4)	4	5.1%

Most occurring scripts

Value	Count	Frequency (%)
Latin	566	100.0%

Most frequent character per script

Latin

Value	Count	Frequency (%)
n	75	13.3%
i	71	12.5%
e	68	12.0%
s	68	12.0%
h	53	9.4%
a	34	6.0%
g	31	5.5%
C	25	4.4%
E	22	3.9%
l	22	3.9%
Other values (23)	97	17.1%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	566	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
n	75	13.3%
i	71	12.5%
e	68	12.0%
s	68	12.0%
h	53	9.4%
a	34	6.0%
g	31	5.5%
C	25	4.4%
E	22	3.9%
l	22	3.9%
Other values (23)	97	17.1%

_embedded_show_genres
Categorical

HIGH CORRELATION
HIGH CORRELATION

Distinct	31
Distinct (%)	38.8%
Missing	0
Missing (%)	0.0%
Memory size	768.0 B

[]	21
['Comedy']	8
['Drama', 'Romance']	7
['Drama', 'Thriller', 'Mystery']	4
['Science-Fiction', 'Nature']	4
Other values (26)	36

Length

Max length	40
Median length	34.5
Mean length	17
Min length	2

Characters and Unicode

Total characters	1360
Distinct characters	36
Distinct categories	7 ?
Distinct scripts	2 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	17 ?
Unique (%)	21.2%

Sample

1st row	[]
2nd row	['Comedy']
3rd row	['Drama', 'Romance', 'Mystery']
4th row	['Comedy', 'Anime', 'Supernatural']
5th row	['Comedy', 'Action', 'Anime', 'Fantasy']

Common Values

Value	Count	Frequency (%)
[]	21	26.2%
['Comedy']	8	10.0%
['Drama', 'Romance']	7	8.8%
['Drama', 'Thriller', 'Mystery']	4	5.0%
['Science-Fiction', 'Nature']	4	5.0%
['Music']	3	3.8%
['Drama', 'Comedy', 'Romance']	2	2.5%
['Comedy', 'Fantasy', 'Romance']	2	2.5%
['Crime', 'Thriller', 'Mystery']	2	2.5%
['Action', 'Crime', 'Thriller']	2	2.5%
Other values (21)	25	31.2%

Length

Histogram of lengths of the category

Value	Count	Frequency (%)
	21	14.5%
comedy	21	14.5%
drama	21	14.5%
romance	17	11.7%
thriller	8	5.5%
mystery	7	4.8%
children	6	4.1%
anime	5	3.4%
action	5	3.4%
science-fiction	5	3.4%
Other values (12)	29	20.0%

Most occurring characters

Value	Count	Frequency (%)
'	248	18.2%
e	87	6.4%
[	80	5.9%
]	80	5.9%
a	80	5.9%
r	71	5.2%
m	70	5.1%
,	65	4.8%
	65	4.8%
o	53	3.9%
Other values (26)	461	33.9%

Most occurring categories

Value	Count	Frequency (%)
Lowercase Letter	686	50.4%
Other Punctuation	313	23.0%
Uppercase Letter	131	9.6%
Open Punctuation	80	5.9%
Close Punctuation	80	5.9%
Space Separator	65	4.8%
Dash Punctuation	5	0.4%

Most frequent character per category

Lowercase Letter

Value	Count	Frequency (%)
e	87	12.7%
a	80	11.7%
r	71	10.3%
m	70	10.2%
o	53	7.7%
i	52	7.6%
n	50	7.3%
y	45	6.6%
c	40	5.8%
t	33	4.8%
Other values (7)	105	15.3%

Uppercase Letter

Value	Count	Frequency (%)
C	31	23.7%
D	22	16.8%
R	17	13.0%
F	11	8.4%
A	11	8.4%
M	10	7.6%
T	9	6.9%
S	8	6.1%
N	4	3.1%
H	4	3.1%
Other values (3)	4	3.1%

Other Punctuation

Value	Count	Frequency (%)
'	248	79.2%
,	65	20.8%

Open Punctuation

Value	Count	Frequency (%)
[	80	100.0%

Close Punctuation

Value	Count	Frequency (%)
]	80	100.0%

Space Separator

Value	Count	Frequency (%)
	65	100.0%

Dash Punctuation

Value	Count	Frequency (%)
-	5	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Latin	817	60.1%
Common	543	39.9%

Most frequent character per script

Latin

Value	Count	Frequency (%)
e	87	10.6%
a	80	9.8%
r	71	8.7%
m	70	8.6%
o	53	6.5%
i	52	6.4%
n	50	6.1%
y	45	5.5%
c	40	4.9%
t	33	4.0%
Other values (20)	236	28.9%

Common

Value	Count	Frequency (%)
'	248	45.7%
[	80	14.7%
]	80	14.7%
,	65	12.0%
	65	12.0%
-	5	0.9%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	1360	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
'	248	18.2%
e	87	6.4%
[	80	5.9%
]	80	5.9%
a	80	5.9%
r	71	5.2%
m	70	5.1%
,	65	4.8%
	65	4.8%
o	53	3.9%
Other values (26)	461	33.9%

_embedded_show_status
Categorical

HIGH CORRELATION
HIGH CORRELATION

Distinct	3
Distinct (%)	3.8%
Missing	0
Missing (%)	0.0%
Memory size	768.0 B

Running	46
Ended	31
To Be Determined	3

Length

Max length	16
Median length	7
Mean length	6.5625
Min length	5

Characters and Unicode

Total characters	525
Distinct characters	16
Distinct categories	3 ?
Distinct scripts	2 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	Running
2nd row	Ended
3rd row	Ended
4th row	Running
5th row	Running

Common Values

Value	Count	Frequency (%)
Running	46	57.5%
Ended	31	38.8%
To Be Determined	3	3.8%

Length

Histogram of lengths of the category

Category Frequency Plot

Value	Count	Frequency (%)
running	46	53.5%
ended	31	36.0%
to	3	3.5%
be	3	3.5%
determined	3	3.5%

Most occurring characters

Value	Count	Frequency (%)
n	172	32.8%
d	65	12.4%
i	49	9.3%
R	46	8.8%
u	46	8.8%
g	46	8.8%
e	43	8.2%
E	31	5.9%
	6	1.1%
T	3	0.6%
Other values (6)	18	3.4%

Most occurring categories

Value	Count	Frequency (%)
Lowercase Letter	433	82.5%
Uppercase Letter	86	16.4%
Space Separator	6	1.1%

Most frequent character per category

Lowercase Letter

Value	Count	Frequency (%)
n	172	39.7%
d	65	15.0%
i	49	11.3%
u	46	10.6%
g	46	10.6%
e	43	9.9%
o	3	0.7%
t	3	0.7%
r	3	0.7%
m	3	0.7%

Uppercase Letter

Value	Count	Frequency (%)
R	46	53.5%
E	31	36.0%
T	3	3.5%
B	3	3.5%
D	3	3.5%

Space Separator

Value	Count	Frequency (%)
	6	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Latin	519	98.9%
Common	6	1.1%

Most frequent character per script

Latin

Value	Count	Frequency (%)
n	172	33.1%
d	65	12.5%
i	49	9.4%
R	46	8.9%
u	46	8.9%
g	46	8.9%
e	43	8.3%
E	31	6.0%
T	3	0.6%
o	3	0.6%
Other values (5)	15	2.9%

Common

Value	Count	Frequency (%)
	6	100.0%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	525	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
n	172	32.8%
d	65	12.4%
i	49	9.3%
R	46	8.8%
u	46	8.8%
g	46	8.8%
e	43	8.2%
E	31	5.9%
	6	1.1%
T	3	0.6%
Other values (6)	18	3.4%

_embedded_show_runtime
Real number (ℝ_≥0)

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
MISSING

Distinct	22
Distinct (%)	36.7%
Missing	20
Missing (%)	25.0%
Infinite	0
Infinite (%)	0.0%
Mean	43.65

Minimum	2
Maximum	300
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	768.0 B

Quantile statistics

Minimum	2
5-th percentile	5
Q1	22.25
median	40
Q3	45
95-th percentile	120
Maximum	300
Range	298
Interquartile range (IQR)	22.75

Descriptive statistics

Standard deviation	42.50496481
Coefficient of variation (CV)	0.9737678079
Kurtosis	22.4174587
Mean	43.65
Median Absolute Deviation (MAD)	10
Skewness	4.070760639
Sum	2619
Variance	1806.672034
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=22)

Value	Count	Frequency (%)
45	19	23.8%
30	5	6.2%
20	5	6.2%
5	3	3.8%
25	3	3.8%
120	3	3.8%
60	3	3.8%
37	2	2.5%
12	2	2.5%
40	2	2.5%
Other values (12)	13	16.2%
(Missing)	20	25.0%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
2	1	1.2%
4	1	1.2%
5	3	3.8%
8	1	1.2%
12	2	2.5%
15	1	1.2%
19	1	1.2%
20	5	6.2%
23	1	1.2%
25	3	3.8%

Value	Count	Frequency (%)
300	1	1.2%
120	3	3.8%
90	2	2.5%
60	3	3.8%
55	1	1.2%
45	19	23.8%
40	2	2.5%
37	2	2.5%
35	1	1.2%
33	1	1.2%

_embedded_show_averageRuntime
Real number (ℝ_≥0)

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
MISSING

Distinct	37
Distinct (%)	48.7%
Missing	4
Missing (%)	5.0%
Infinite	0
Infinite (%)	0.0%
Mean	38.36842105

Minimum	2
Maximum	300
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	768.0 B

Quantile statistics

Minimum	2
5-th percentile	5
Q1	17.25
median	37.5
Q3	45
95-th percentile	91.75
Maximum	300
Range	298
Interquartile range (IQR)	27.75

Descriptive statistics

Standard deviation	38.43361102
Coefficient of variation (CV)	1.001699053
Kurtosis	28.62001043
Mean	38.36842105
Median Absolute Deviation (MAD)	12.5
Skewness	4.501260689
Sum	2916
Variance	1477.142456
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=37)

Value	Count	Frequency (%)
45	18	22.5%
5	5	6.2%
25	4	5.0%
44	4	5.0%
37	3	3.8%
30	3	3.8%
20	3	3.8%
40	2	2.5%
60	2	2.5%
12	2	2.5%
Other values (27)	30	37.5%
(Missing)	4	5.0%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
2	1	1.2%
4	1	1.2%
5	5	6.2%
6	1	1.2%
7	1	1.2%
8	1	1.2%
9	1	1.2%
10	2	2.5%
12	2	2.5%
13	1	1.2%

Value	Count	Frequency (%)
300	1	1.2%
120	1	1.2%
110	1	1.2%
97	1	1.2%
90	1	1.2%
75	1	1.2%
60	2	2.5%
59	1	1.2%
54	1	1.2%
45	18	22.5%

_embedded_show_premiered
Categorical

HIGH CARDINALITY
HIGH CORRELATION
HIGH CORRELATION
UNIFORM

Distinct	60
Distinct (%)	75.0%
Missing	0
Missing (%)	0.0%
Memory size	768.0 B

2020-12-02	6
2020-11-23	4
2020-11-18	3
2020-11-03	2
2020-11-25	2
Other values (55)	63

Length

Max length	10
Median length	10
Mean length	10
Min length	10

Characters and Unicode

Total characters	800
Distinct characters	11
Distinct categories	2 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	47 ?
Unique (%)	58.8%

Sample

1st row	2019-04-03
2nd row	2020-11-30
3rd row	2020-04-14
4th row	2020-04-01
5th row	2020-08-12

Common Values

Value	Count	Frequency (%)
2020-12-02	6	7.5%
2020-11-23	4	5.0%
2020-11-18	3	3.8%
2020-11-03	2	2.5%
2020-11-25	2	2.5%
2020-11-19	2	2.5%
2020-11-04	2	2.5%
2020-11-24	2	2.5%
2020-07-08	2	2.5%
2020-10-07	2	2.5%
Other values (50)	53	66.2%

Length

Histogram of lengths of the category

Value	Count	Frequency (%)
2020-12-02	6	7.5%
2020-11-23	4	5.0%
2020-11-18	3	3.8%
2020-07-08	2	2.5%
2020-11-30	2	2.5%
2020-11-17	2	2.5%
2020-10-07	2	2.5%
2020-11-08	2	2.5%
2020-11-24	2	2.5%
2020-11-04	2	2.5%
Other values (50)	53	66.2%

Most occurring characters

Value	Count	Frequency (%)
0	211	26.4%
2	172	21.5%
-	160	20.0%
1	138	17.2%
9	28	3.5%
4	22	2.8%
8	21	2.6%
3	20	2.5%
5	11	1.4%
7	11	1.4%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	640	80.0%
Dash Punctuation	160	20.0%

Most frequent character per category

Decimal Number

Value	Count	Frequency (%)
0	211	33.0%
2	172	26.9%
1	138	21.6%
9	28	4.4%
4	22	3.4%
8	21	3.3%
3	20	3.1%
5	11	1.7%
7	11	1.7%
6	6	0.9%

Dash Punctuation

Value	Count	Frequency (%)
-	160	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Common	800	100.0%

Most frequent character per script

Common

Value	Count	Frequency (%)
0	211	26.4%
2	172	21.5%
-	160	20.0%
1	138	17.2%
9	28	3.5%
4	22	2.8%
8	21	2.6%
3	20	2.5%
5	11	1.4%
7	11	1.4%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	800	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
0	211	26.4%
2	172	21.5%
-	160	20.0%
1	138	17.2%
9	28	3.5%
4	22	2.8%
8	21	2.6%
3	20	2.5%
5	11	1.4%
7	11	1.4%

_embedded_show_ended
Categorical

HIGH CORRELATION
HIGH CORRELATION

Distinct	15
Distinct (%)	18.8%
Missing	0
Missing (%)	0.0%
Memory size	768.0 B

nan	49
2020-12-02	8
2020-12-30	5
2020-12-16	3
2020-12-08	2
Other values (10)	13

Length

Max length	10
Median length	3
Mean length	5.7125
Min length	3

Characters and Unicode

Total characters	457
Distinct characters	13
Distinct categories	3 ?
Distinct scripts	2 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	7 ?
Unique (%)	8.8%

Sample

1st row	nan
2nd row	2020-12-11
3rd row	2020-12-10
4th row	nan
5th row	nan

Common Values

Value	Count	Frequency (%)
nan	49	61.3%
2020-12-02	8	10.0%
2020-12-30	5	6.2%
2020-12-16	3	3.8%
2020-12-08	2	2.5%
2020-12-03	2	2.5%
2020-12-23	2	2.5%
2021-01-14	2	2.5%
2020-12-11	1	1.2%
2020-12-10	1	1.2%
Other values (5)	5	6.2%

Length

Histogram of lengths of the category

Value	Count	Frequency (%)
nan	49	61.3%
2020-12-02	8	10.0%
2020-12-30	5	6.2%
2020-12-16	3	3.8%
2020-12-08	2	2.5%
2020-12-03	2	2.5%
2020-12-23	2	2.5%
2021-01-14	2	2.5%
2020-12-11	1	1.2%
2020-12-10	1	1.2%
Other values (5)	5	6.2%

Most occurring characters

Value	Count	Frequency (%)
2	102	22.3%
n	98	21.4%
0	81	17.7%
-	62	13.6%
a	49	10.7%
1	44	9.6%
3	9	2.0%
6	3	0.7%
8	3	0.7%
4	3	0.7%
Other values (3)	3	0.7%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	248	54.3%
Lowercase Letter	147	32.2%
Dash Punctuation	62	13.6%

Most frequent character per category

Decimal Number

Value	Count	Frequency (%)
2	102	41.1%
0	81	32.7%
1	44	17.7%
3	9	3.6%
6	3	1.2%
8	3	1.2%
4	3	1.2%
7	1	0.4%
5	1	0.4%
9	1	0.4%

Lowercase Letter

Value	Count	Frequency (%)
n	98	66.7%
a	49	33.3%

Dash Punctuation

Value	Count	Frequency (%)
-	62	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Common	310	67.8%
Latin	147	32.2%

Most frequent character per script

Common

Value	Count	Frequency (%)
2	102	32.9%
0	81	26.1%
-	62	20.0%
1	44	14.2%
3	9	2.9%
6	3	1.0%
8	3	1.0%
4	3	1.0%
7	1	0.3%
5	1	0.3%

Latin

Value	Count	Frequency (%)
n	98	66.7%
a	49	33.3%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	457	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
2	102	22.3%
n	98	21.4%
0	81	17.7%
-	62	13.6%
a	49	10.7%
1	44	9.6%
3	9	2.0%
6	3	0.7%
8	3	0.7%
4	3	0.7%
Other values (3)	3	0.7%

_embedded_show_officialSite
Categorical

HIGH CARDINALITY
HIGH CORRELATION
HIGH CORRELATION

Distinct	59
Distinct (%)	73.8%
Missing	0
Missing (%)	0.0%
Memory size	768.0 B

nan	13
https://www.netflix.com/title/80221410	4
https://tv.nrk.no/serie/gjoer-det-sjoel	2
https://v.qq.com/x/search/?q=+%E4%BB%8A%E5%A4%95%E4%BD%95%E5%A4%95&stag=0&smartbox_ab=	2
https://v.youku.com/v_show/id_XNDg2OTQ0ODAwOA==.html?s=dfbc7998206c499cac28	2
Other values (54)	57

Length

Max length	97
Median length	72
Mean length	43.65
Min length	3

Characters and Unicode

Total characters	3492
Distinct characters	74
Distinct categories	7 ?
Distinct scripts	2 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	51 ?
Unique (%)	63.7%

Sample

1st row	https://www.youtube.com/playlist?list=PLZ1FUdedsrSJubWkFFh5vKHzawzQk1mYI
2nd row	http://epic-media.ru/project/kotiki
3rd row	nan
4th row	https://v.qq.com/detail/a/awnia0n2erqryf3.html
5th row	https://v.qq.com/detail/w/ww18u675tfmhas6.html

Common Values

Value	Count	Frequency (%)
nan	13	16.2%
https://www.netflix.com/title/80221410	4	5.0%
https://tv.nrk.no/serie/gjoer-det-sjoel	2	2.5%
https://v.qq.com/x/search/?q=+%E4%BB%8A%E5%A4%95%E4%BD%95%E5%A4%95&stag=0&smartbox_ab=	2	2.5%
https://v.youku.com/v_show/id_XNDg2OTQ0ODAwOA==.html?s=dfbc7998206c499cac28	2	2.5%
https://v.qq.com/detail/m/mzc00200tu76tos.html	2	2.5%
https://www.iqiyi.com/a_19rrhskr95.html	2	2.5%
https://so.youku.com/search_video/q_%20%E6%9C%80%E5%88%9D%E7%9A%84%E7%9B%B8%E9%81%87?searchfrom=1	2	2.5%
https://www.youtube.com/c/HelloKittyFriends	1	1.2%
https://elcinema.com/work/2061816/	1	1.2%
Other values (49)	49	61.3%

Length

Histogram of lengths of the category

Value	Count	Frequency (%)
nan	13	16.2%
https://www.netflix.com/title/80221410	4	5.0%
https://tv.nrk.no/serie/gjoer-det-sjoel	2	2.5%
https://v.qq.com/x/search/?q=+%e4%bb%8a%e5%a4%95%e4%bd%95%e5%a4%95&stag=0&smartbox_ab	2	2.5%
https://v.youku.com/v_show/id_xndg2otq0odawoa==.html?s=dfbc7998206c499cac28	2	2.5%
https://v.qq.com/detail/m/mzc00200tu76tos.html	2	2.5%
https://www.iqiyi.com/a_19rrhskr95.html	2	2.5%
https://so.youku.com/search_video/q_%20%e6%9c%80%e5%88%9d%e7%9a%84%e7%9b%b8%e9%81%87?searchfrom=1	2	2.5%
http://tv3.ru/project/slepaya	1	1.2%
http://www.njpw1972.com	1	1.2%
Other values (49)	49	61.3%

Most occurring characters

Value	Count	Frequency (%)
/	274	7.8%
t	266	7.6%
s	182	5.2%
e	159	4.6%
o	158	4.5%
w	143	4.1%
.	133	3.8%
h	127	3.6%
a	112	3.2%
i	109	3.1%
Other values (64)	1829	52.4%

Most occurring categories

Value	Count	Frequency (%)
Lowercase Letter	2280	65.3%
Other Punctuation	556	15.9%
Decimal Number	297	8.5%
Uppercase Letter	266	7.6%
Dash Punctuation	46	1.3%
Math Symbol	29	0.8%
Connector Punctuation	18	0.5%

Most frequent character per category

Lowercase Letter

Value	Count	Frequency (%)
t	266	11.7%
s	182	8.0%
e	159	7.0%
o	158	6.9%
w	143	6.3%
h	127	5.6%
a	112	4.9%
i	109	4.8%
p	105	4.6%
n	104	4.6%
Other values (16)	815	35.7%

Uppercase Letter

Value	Count	Frequency (%)
E	26	9.8%
A	22	8.3%
B	19	7.1%
P	15	5.6%
Y	14	5.3%
L	12	4.5%
H	11	4.1%
C	11	4.1%
D	11	4.1%
Q	11	4.1%
Other values (16)	114	42.9%

Decimal Number

Value	Count	Frequency (%)
0	44	14.8%
9	38	12.8%
1	37	12.5%
8	35	11.8%
2	33	11.1%
5	28	9.4%
4	25	8.4%
6	24	8.1%
7	20	6.7%
3	13	4.4%

Other Punctuation

Value	Count	Frequency (%)
/	274	49.3%
.	133	23.9%
:	67	12.1%
%	57	10.3%
?	16	2.9%
&	7	1.3%
#	1	0.2%
!	1	0.2%

Math Symbol

Value	Count	Frequency (%)
=	27	93.1%
+	2	6.9%

Dash Punctuation

Value	Count	Frequency (%)
-	46	100.0%

Connector Punctuation

Value	Count	Frequency (%)
_	18	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Latin	2546	72.9%
Common	946	27.1%

Most frequent character per script

Latin

Value	Count	Frequency (%)
t	266	10.4%
s	182	7.1%
e	159	6.2%
o	158	6.2%
w	143	5.6%
h	127	5.0%
a	112	4.4%
i	109	4.3%
p	105	4.1%
n	104	4.1%
Other values (42)	1081	42.5%

Common

Value	Count	Frequency (%)
/	274	29.0%
.	133	14.1%
:	67	7.1%
%	57	6.0%
-	46	4.9%
0	44	4.7%
9	38	4.0%
1	37	3.9%
8	35	3.7%
2	33	3.5%
Other values (12)	182	19.2%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	3492	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
/	274	7.8%
t	266	7.6%
s	182	5.2%
e	159	4.6%
o	158	4.5%
w	143	4.1%
.	133	3.8%
h	127	3.6%
a	112	3.2%
i	109	3.1%
Other values (64)	1829	52.4%

_embedded_show_weight
Real number (ℝ_≥0)

HIGH CORRELATION

Distinct	40
Distinct (%)	50.0%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	29.725

Minimum	1
Maximum	88
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	768.0 B

Quantile statistics

Minimum	1
5-th percentile	4.9
Q1	14
median	20.5
Q3	43.25
95-th percentile	85
Maximum	88
Range	87
Interquartile range (IQR)	29.25

Descriptive statistics

Standard deviation	24.38456401
Coefficient of variation (CV)	0.8203385706
Kurtosis	0.2273424555
Mean	29.725
Median Absolute Deviation (MAD)	10.5
Skewness	1.148847933
Sum	2378
Variance	594.606962
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=40)

Value	Count	Frequency (%)
18	7	8.8%
17	5	6.2%
85	4	5.0%
14	4	5.0%
8	4	5.0%
27	3	3.8%
57	3	3.8%
6	3	3.8%
25	3	3.8%
24	2	2.5%
Other values (30)	42	52.5%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
1	1	1.2%
2	1	1.2%
3	2	2.5%
5	2	2.5%
6	3	3.8%
7	2	2.5%
8	4	5.0%
10	2	2.5%
11	1	1.2%
14	4	5.0%

Value	Count	Frequency (%)
88	1	1.2%
86	1	1.2%
85	4	5.0%
79	1	1.2%
77	2	2.5%
64	1	1.2%
60	1	1.2%
57	3	3.8%
55	2	2.5%
53	1	1.2%

_embedded_show_dvdCountry
Categorical

HIGH CORRELATION
HIGH CORRELATION

Distinct	2
Distinct (%)	2.5%
Missing	0
Missing (%)	0.0%
Memory size	768.0 B

nan	79
{'name': 'Ukraine', 'code': 'UA', 'timezone': 'Europe/Zaporozhye'}	1

Length

Max length	66
Median length	3
Mean length	3.7875
Min length	3

Characters and Unicode

Total characters	303
Distinct characters	27
Distinct categories	6 ?
Distinct scripts	2 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	1 ?
Unique (%)	1.2%

Sample

1st row	nan
2nd row	nan
3rd row	nan
4th row	nan
5th row	nan

Common Values

Value	Count	Frequency (%)
nan	79	98.8%
{'name': 'Ukraine', 'code': 'UA', 'timezone': 'Europe/Zaporozhye'}	1	1.2%

Length

Histogram of lengths of the category

Category Frequency Plot

Value	Count	Frequency (%)
nan	79	92.9%
name	1	1.2%
ukraine	1	1.2%
code	1	1.2%
ua	1	1.2%
timezone	1	1.2%
europe/zaporozhye	1	1.2%

Most occurring characters

Value	Count	Frequency (%)
n	161	53.1%
a	82	27.1%
'	12	4.0%
e	7	2.3%
o	5	1.7%
	5	1.7%
:	3	1.0%
r	3	1.0%
i	2	0.7%
p	2	0.7%
Other values (17)	21	6.9%

Most occurring categories

Value	Count	Frequency (%)
Lowercase Letter	273	90.1%
Other Punctuation	18	5.9%
Space Separator	5	1.7%
Uppercase Letter	5	1.7%
Open Punctuation	1	0.3%
Close Punctuation	1	0.3%

Most frequent character per category

Lowercase Letter

Value	Count	Frequency (%)
n	161	59.0%
a	82	30.0%
e	7	2.6%
o	5	1.8%
r	3	1.1%
i	2	0.7%
p	2	0.7%
z	2	0.7%
m	2	0.7%
u	1	0.4%
Other values (6)	6	2.2%

Other Punctuation

Value	Count	Frequency (%)
'	12	66.7%
:	3	16.7%
,	2	11.1%
/	1	5.6%

Uppercase Letter

Value	Count	Frequency (%)
U	2	40.0%
Z	1	20.0%
E	1	20.0%
A	1	20.0%

Space Separator

Value	Count	Frequency (%)
	5	100.0%

Open Punctuation

Value	Count	Frequency (%)
{	1	100.0%

Close Punctuation

Value	Count	Frequency (%)
}	1	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Latin	278	91.7%
Common	25	8.3%

Most frequent character per script

Latin

Value	Count	Frequency (%)
n	161	57.9%
a	82	29.5%
e	7	2.5%
o	5	1.8%
r	3	1.1%
i	2	0.7%
p	2	0.7%
z	2	0.7%
U	2	0.7%
m	2	0.7%
Other values (10)	10	3.6%

Common

Value	Count	Frequency (%)
'	12	48.0%
	5	20.0%
:	3	12.0%
,	2	8.0%
/	1	4.0%
{	1	4.0%
}	1	4.0%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	303	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
n	161	53.1%
a	82	27.1%
'	12	4.0%
e	7	2.3%
o	5	1.7%
	5	1.7%
:	3	1.0%
r	3	1.0%
i	2	0.7%
p	2	0.7%
Other values (17)	21	6.9%

_embedded_show_summary
Categorical

HIGH CARDINALITY
HIGH CORRELATION
HIGH CORRELATION

Distinct	53
Distinct (%)	66.2%
Missing	0
Missing (%)	0.0%
Memory size	768.0 B

nan	16
<p>Applying the laws of life on Earth to the rest of the galaxy, this series blends science fact and fiction to imagine alien life on other planets.</p>	4
<p>During the Yin Dynasty, Dong Yue, a brave general in the Dingyuan Rebellion, was sent back in time to stop a war that would claim the lives of countless innocents. She sets out to murder corrupted officer Lu Yuantong in an attempt to prevent war, and during her journey she met Feng Xi and Pang Yu. Pang Yu and Feng Xi were old friends who cared deeply for each other, but fell out and turn into enemies. While trying to reconcile the two brothers, Dong Yue also tries to stop Lu Yuantang's evil schemes which are poised to tear the nation apart with their help.</p>	2
<p>The police are investigating a case that involves a death directly caused by a rare bug known as the bullet ant. In order to clear his name, Tan Jingtian, an Insect toxicology graduate becomes involved in the bizzare investigation and collaborates with forensic doctor Jin Ling. As they dig deeper, they uncover the mystery behind his own identity.</p><p>Along with police captain Chen Han and the other detectives, they trace every clue as they solve one case at a time to uncover the murderer that has been in hiding for many years.</p>	2
<p>Pan, a desolate plastic surgeon, lived a repetitive and boring life every day until a conspiracy happened. He woke up in an abandoned factory, and found that someone had replaced his identity with a face exactly like him. His world has been completely overturned and left in a perilous situation. Can he overcome the difficulties and peel away the truth? How would he regain his identity?</p>	2
Other values (48)	54

Length

Max length	1084
Median length	442.5
Mean length	255.5375
Min length	3

Characters and Unicode

Total characters	20443
Distinct characters	84
Distinct categories	10 ?
Distinct scripts	2 ?
Distinct blocks	3 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	42 ?
Unique (%)	52.5%

Sample

1st row	nan
2nd row	nan
3rd row	<p><b>Mermaid Prince</b> is about Hye Ri, who embarks on a graduation trip to Gangwon Province and meets Woo Hyuk, a mysterious guy who runs a guest house.</p>
4th row	<p>The pure and cute little devil Nini lives in Room 1031 of Wan Sheng Street Apartment. His roommates are no ordinary people: The lazy and wacky vampire Ira who spends most of his time gaming or watching TV, the unlucky dancer werewolf Vladimir, the serious and old-fashioned angel landlord Lynn and his naive little sister Lily, and many more.<br /><br />What none of them realize is that the power of the demon king is sleeping inside of Nini. With evil forces in hot pursuit, can Nini and his friends head off disaster?</p>
5th row	<p>One will to create oceans. One will to summon the mulberry fields.<br /><br />One will to slaughter countless devils. One will to eradicate innumerable immortals.<br /><br />Only my will… is eternal.<br /><br />A Will Eternal tells the tale of Bai Xiaochun, an endearing but exasperating young man who is driven primarily by his fear of death and desire to live forever, but who deeply values friendship and family.<br /><br />(Source: Novel Updates)</p>

Common Values

Value	Count	Frequency (%)
nan	16	20.0%
<p>Applying the laws of life on Earth to the rest of the galaxy, this series blends science fact and fiction to imagine alien life on other planets.</p>	4	5.0%
<p>During the Yin Dynasty, Dong Yue, a brave general in the Dingyuan Rebellion, was sent back in time to stop a war that would claim the lives of countless innocents. She sets out to murder corrupted officer Lu Yuantong in an attempt to prevent war, and during her journey she met Feng Xi and Pang Yu. Pang Yu and Feng Xi were old friends who cared deeply for each other, but fell out and turn into enemies. While trying to reconcile the two brothers, Dong Yue also tries to stop Lu Yuantang's evil schemes which are poised to tear the nation apart with their help.</p>	2	2.5%
<p>The police are investigating a case that involves a death directly caused by a rare bug known as the bullet ant. In order to clear his name, Tan Jingtian, an Insect toxicology graduate becomes involved in the bizzare investigation and collaborates with forensic doctor Jin Ling. As they dig deeper, they uncover the mystery behind his own identity.</p><p>Along with police captain Chen Han and the other detectives, they trace every clue as they solve one case at a time to uncover the murderer that has been in hiding for many years.</p>	2	2.5%
<p>Pan, a desolate plastic surgeon, lived a repetitive and boring life every day until a conspiracy happened. He woke up in an abandoned factory, and found that someone had replaced his identity with a face exactly like him. His world has been completely overturned and left in a perilous situation. Can he overcome the difficulties and peel away the truth? How would he regain his identity?</p>	2	2.5%
<p>A story that follows a detective in the major crimes division of Nan Xing City Police Department. Together with a woman who has super memory, he upholds the law one case at a time in solving murders, burglaries and bringing down a narcotics manufacturing facility. Jing Chu is a young and capable detective. Due to his repeated merits from cracking big cases, he is promoted to the position of major crimes division vice-captain at Nan Xing city and starts to work alongside his new team. Because of a murder case, he meets Yang Mian Mian, a young woman who possesses a photographic memory. He soon realizes that Mian Mian seems to have a deep connection to his father's mysterious death many years ago. Meanwhile, a famous blogger and a member of an idol girl group die</p>	2	2.5%
<p>Merchant Jiang Shuo and his odd specialist companion Qin Yi Heng purchase frequented houses to exchange them. In any case, alarming things start to occur and each spooky house is by all accounts part of a major riddle. Jiang Shuo, Yi Heng, and police officer Yuan Mu Qing attempt to understand the riddle.</p>	2	2.5%
<p>A story that follows people whose lives are entangled due to a complicated case. While investigating a drug cartel as an undercover cop, Yan Jin falls in love with the beautiful coffee shop owner Ji Xiao'ou.</p>	2	2.5%
<p>‎Shen Moo, has no idea what adventures she will face. Beauty, is one of the best observers of Internet resources, but soon, in her head creeps the idea that in the universe there are mermaids. It's hard to believe, but for some reason, she can't get it out of her mind. Soon, she will have to take responsibility to prove their existence, otherwise, the dispute with the professor will turn out to be a real failure for the heroine. Together with the rescue team, they went to help the victims in The Xine Bay. Meet Ahn Xin - an athlete, will turn her reality. Unbelievable, but the guy is perceived as a mermaid. Of course, Mu Xin liked it madly, because she found a key witness and will be able to insist on her own. However, the mermaid man does his best to avoid revealing his real world.‎</p>	2	2.5%
<p>‎At the end of the 20th century, due to the sudden decision of Xin Shensheng, gao Shan's business went bankrupt. Gao Shan wants to prove his father's innocence, but on his way suddenly falls in love with the daughter of Xin Shensheng, Tsin Waugh. Learning about the intentions of Gao Shan, Xin Shansheng makes him quit his job. ‎<br /><br />‎Gao Shan decides to go to Hong Kong to start from scratch, where he meets a benefactor and earns his first million in his life. Under the guidance of a mentor, he goes to Beijing and becomes a well-known investor. Soon Gao Shan meets Tsin Vo, who became a financial headhunter. Can love help them find their way to each other again? ‎<br /><br />‎Based on the novel by Xiao Moli "Little Storm 1.0"‎</p>	2	2.5%
Other values (43)	44	55.0%

Length

Histogram of lengths of the category

Value	Count	Frequency (%)
the	171	4.9%
and	116	3.4%
to	113	3.3%
a	104	3.0%
of	83	2.4%
in	63	1.8%
his	47	1.4%
with	41	1.2%
on	31	0.9%
that	28	0.8%
Other values (1240)	2665	77.0%

Most occurring characters

Value	Count	Frequency (%)
	3381	16.5%
e	1917	9.4%
a	1296	6.3%
t	1257	6.1%
n	1232	6.0%
i	1168	5.7%
o	1142	5.6%
s	959	4.7%
r	887	4.3%
h	754	3.7%
Other values (74)	6450	31.6%

Most occurring categories

Value	Count	Frequency (%)
Lowercase Letter	15257	74.6%
Space Separator	3383	16.5%
Uppercase Letter	722	3.5%
Other Punctuation	561	2.7%
Math Symbol	412	2.0%
Dash Punctuation	41	0.2%
Decimal Number	37	0.2%
Format	16	0.1%
Close Punctuation	7	< 0.1%
Open Punctuation	7	< 0.1%

Most frequent character per category

Lowercase Letter

Value	Count	Frequency (%)
e	1917	12.6%
a	1296	8.5%
t	1257	8.2%
n	1232	8.1%
i	1168	7.7%
o	1142	7.5%
s	959	6.3%
r	887	5.8%
h	754	4.9%
l	641	4.2%
Other values (19)	4004	26.2%

Uppercase Letter

Value	Count	Frequency (%)
S	71	9.8%
T	52	7.2%
W	47	6.5%
H	45	6.2%
M	43	6.0%
A	42	5.8%
L	33	4.6%
E	32	4.4%
D	31	4.3%
I	29	4.0%
Other values (16)	297	41.1%

Other Punctuation

Value	Count	Frequency (%)
,	187	33.3%
.	167	29.8%
/	113	20.1%
'	45	8.0%
"	16	2.9%
!	13	2.3%
?	9	1.6%
:	5	0.9%
…	4	0.7%
;	1	0.2%

Decimal Number

Value	Count	Frequency (%)
0	11	29.7%
1	8	21.6%
2	6	16.2%
9	4	10.8%
8	3	8.1%
3	2	5.4%
7	2	5.4%
6	1	2.7%

Dash Punctuation

Value	Count	Frequency (%)
-	33	80.5%
—	7	17.1%
–	1	2.4%

Space Separator

Value	Count	Frequency (%)
	3381	99.9%
	2	0.1%

Math Symbol

Value	Count	Frequency (%)
>	206	50.0%
<	206	50.0%

Format

Value	Count	Frequency (%)
‎	16	100.0%

Close Punctuation

Value	Count	Frequency (%)
)	7	100.0%

Open Punctuation

Value	Count	Frequency (%)
(	7	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Latin	15979	78.2%
Common	4464	21.8%

Most frequent character per script

Latin

Value	Count	Frequency (%)
e	1917	12.0%
a	1296	8.1%
t	1257	7.9%
n	1232	7.7%
i	1168	7.3%
o	1142	7.1%
s	959	6.0%
r	887	5.6%
h	754	4.7%
l	641	4.0%
Other values (45)	4726	29.6%

Common

Value	Count	Frequency (%)
	3381	75.7%
>	206	4.6%
<	206	4.6%
,	187	4.2%
.	167	3.7%
/	113	2.5%
'	45	1.0%
-	33	0.7%
‎	16	0.4%
"	16	0.4%
Other values (19)	94	2.1%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	20410	99.8%
Punctuation	28	0.1%
None	5	< 0.1%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
	3381	16.6%
e	1917	9.4%
a	1296	6.3%
t	1257	6.2%
n	1232	6.0%
i	1168	5.7%
o	1142	5.6%
s	959	4.7%
r	887	4.3%
h	754	3.7%
Other values (66)	6417	31.4%

Punctuation

Value	Count	Frequency (%)
‎	16	57.1%
—	7	25.0%
…	4	14.3%
–	1	3.6%

None

Value	Count	Frequency (%)
	2	40.0%
æ	1	20.0%
å	1	20.0%
é	1	20.0%

_embedded_show_updated
Real number (ℝ_≥0)

HIGH CORRELATION

Distinct	66
Distinct (%)	82.5%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	1633494593

Minimum	1606418164
Maximum	1652080636
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	768.0 B

Quantile statistics

Minimum	1606418164
5-th percentile	1607697965
Q1	1612821081
median	1639631841
Q3	1648767102
95-th percentile	1651838472
Maximum	1652080636
Range	45662472
Interquartile range (IQR)	35946021.25

Descriptive statistics

Standard deviation	17082536.87
Coefficient of variation (CV)	0.01045766356
Kurtosis	-1.506623263
Mean	1633494593
Median Absolute Deviation (MAD)	11235799
Skewness	-0.4509135253
Sum	1.306795674 × 10¹¹
Variance	2.918130661 × 10¹⁴
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
1648328810	4	5.0%
1635735179	2	2.5%
1651838463	2	2.5%
1619633499	2	2.5%
1609648885	2	2.5%
1609060726	2	2.5%
1650826480	2	2.5%
1606418164	2	2.5%
1634168139	2	2.5%
1609535141	2	2.5%
Other values (56)	58	72.5%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
1606418164	2	2.5%
1607104092	1	1.2%
1607697965	2	2.5%
1609060726	2	2.5%
1609535141	2	2.5%
1609606854	2	2.5%
1609648885	2	2.5%
1609950825	1	1.2%
1610205155	1	1.2%
1610812526	1	1.2%

Value	Count	Frequency (%)
1652080636	1	1.2%
1651933962	1	1.2%
1651933209	1	1.2%
1651838647	1	1.2%
1651838463	2	2.5%
1651777316	1	1.2%
1651688041	1	1.2%
1651645684	1	1.2%
1651253356	1	1.2%
1650983676	1	1.2%

_links_self_href
Categorical

HIGH CARDINALITY
HIGH CORRELATION
HIGH CORRELATION
UNIFORM
UNIQUE

Distinct	80
Distinct (%)	100.0%
Missing	0
Missing (%)	0.0%
Memory size	768.0 B

https://api.tvmaze.com/episodes/1977902	1
https://api.tvmaze.com/episodes/2015818	1
https://api.tvmaze.com/episodes/1998673	1
https://api.tvmaze.com/episodes/1997815	1
https://api.tvmaze.com/episodes/1997814	1
Other values (75)	75

Length

Max length	39
Median length	39
Mean length	39
Min length	39

Characters and Unicode

Total characters	3120
Distinct characters	26
Distinct categories	3 ?
Distinct scripts	2 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	80 ?
Unique (%)	100.0%

Sample

1st row	https://api.tvmaze.com/episodes/1977902
2nd row	https://api.tvmaze.com/episodes/2015818
3rd row	https://api.tvmaze.com/episodes/1964000
4th row	https://api.tvmaze.com/episodes/1995405
5th row	https://api.tvmaze.com/episodes/2007760

Common Values

Value	Count	Frequency (%)
https://api.tvmaze.com/episodes/1977902	1	1.2%
https://api.tvmaze.com/episodes/2015818	1	1.2%
https://api.tvmaze.com/episodes/1998673	1	1.2%
https://api.tvmaze.com/episodes/1997815	1	1.2%
https://api.tvmaze.com/episodes/1997814	1	1.2%
https://api.tvmaze.com/episodes/2083331	1	1.2%
https://api.tvmaze.com/episodes/1950369	1	1.2%
https://api.tvmaze.com/episodes/2092729	1	1.2%
https://api.tvmaze.com/episodes/1996798	1	1.2%
https://api.tvmaze.com/episodes/2017664	1	1.2%
Other values (70)	70	87.5%

Length

Histogram of lengths of the category

Value	Count	Frequency (%)
https://api.tvmaze.com/episodes/1977902	1	1.2%
https://api.tvmaze.com/episodes/2015818	1	1.2%
https://api.tvmaze.com/episodes/1964000	1	1.2%
https://api.tvmaze.com/episodes/1995405	1	1.2%
https://api.tvmaze.com/episodes/2007760	1	1.2%
https://api.tvmaze.com/episodes/1985789	1	1.2%
https://api.tvmaze.com/episodes/2039622	1	1.2%
https://api.tvmaze.com/episodes/2039623	1	1.2%
https://api.tvmaze.com/episodes/2324427	1	1.2%
https://api.tvmaze.com/episodes/1998609	1	1.2%
Other values (70)	70	87.5%

Most occurring characters

Value	Count	Frequency (%)
/	320	10.3%
p	240	7.7%
s	240	7.7%
e	240	7.7%
t	240	7.7%
o	160	5.1%
a	160	5.1%
i	160	5.1%
.	160	5.1%
m	160	5.1%
Other values (16)	1040	33.3%

Most occurring categories

Value	Count	Frequency (%)
Lowercase Letter	2000	64.1%
Other Punctuation	560	17.9%
Decimal Number	560	17.9%

Most frequent character per category

Lowercase Letter

Value	Count	Frequency (%)
p	240	12.0%
s	240	12.0%
e	240	12.0%
t	240	12.0%
o	160	8.0%
a	160	8.0%
i	160	8.0%
m	160	8.0%
h	80	4.0%
d	80	4.0%
Other values (3)	240	12.0%

Decimal Number

Value	Count	Frequency (%)
9	100	17.9%
2	88	15.7%
1	76	13.6%
3	53	9.5%
8	49	8.8%
0	47	8.4%
6	40	7.1%
4	39	7.0%
7	36	6.4%
5	32	5.7%

Other Punctuation

Value	Count	Frequency (%)
/	320	57.1%
.	160	28.6%
:	80	14.3%

Most occurring scripts

Value	Count	Frequency (%)
Latin	2000	64.1%
Common	1120	35.9%

Most frequent character per script

Common

Value	Count	Frequency (%)
/	320	28.6%
.	160	14.3%
9	100	8.9%
2	88	7.9%
:	80	7.1%
1	76	6.8%
3	53	4.7%
8	49	4.4%
0	47	4.2%
6	40	3.6%
Other values (3)	107	9.6%

Latin

Value	Count	Frequency (%)
p	240	12.0%
s	240	12.0%
e	240	12.0%
t	240	12.0%
o	160	8.0%
a	160	8.0%
i	160	8.0%
m	160	8.0%
h	80	4.0%
d	80	4.0%
Other values (3)	240	12.0%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	3120	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
/	320	10.3%
p	240	7.7%
s	240	7.7%
e	240	7.7%
t	240	7.7%
o	160	5.1%
a	160	5.1%
i	160	5.1%
.	160	5.1%
m	160	5.1%
Other values (16)	1040	33.3%

Spearman's ρ

The Spearman's rank correlation coefficient (ρ) is a measure of monotonic correlation between two variables, and is therefore better in catching nonlinear monotonic correlations than Pearson's r. It's value lies between -1 and +1, -1 indicating total negative monotonic correlation, 0 indicating no monotonic correlation and 1 indicating total positive monotonic correlation.

To calculate ρ for two variables X and Y, one divides the covariance of the rank variables of X and Y by the product of their standard deviations.

Pearson's r

The Pearson's correlation coefficient (r) is a measure of linear correlation between two variables. It's value lies between -1 and +1, -1 indicating total negative linear correlation, 0 indicating no linear correlation and 1 indicating total positive linear correlation. Furthermore, r is invariant under separate changes in location and scale of the two variables, implying that for a linear function the angle to the x-axis does not affect r.

To calculate r for two variables X and Y, one divides the covariance of X and Y by the product of their standard deviations.

Kendall's τ

Similarly to Spearman's rank correlation coefficient, the Kendall rank correlation coefficient (τ) measures ordinal association between two variables. It's value lies between -1 and +1, -1 indicating total negative correlation, 0 indicating no correlation and 1 indicating total positive correlation.

To calculate τ for two variables X and Y, one determines the number of concordant and discordant pairs of observations. τ is given by the number of concordant pairs minus the discordant pairs divided by the total number of pairs.

Cramér's V (φc)

Cramér's V is an association measure for nominal random variables. The coefficient ranges from 0 to 1, with 0 indicating independence and 1 indicating perfect association. The empirical estimators used for Cramér's V have been proved to be biased, even for large samples. We use a bias-corrected measure that has been proposed by Bergsma in 2013 that can be found here.

Phik (φk)

Phik (φk) is a new and practical correlation coefficient that works consistently between categorical, ordinal and interval variables, captures non-linear dependency and reverts to the Pearson correlation coefficient in case of a bivariate normal input distribution. There is extensive documentation available here.

A simple visualization of nullity by column.

Nullity matrix is a data-dense display which lets you quickly visually pick out patterns in data completion.

The correlation heatmap measures nullity correlation: how strongly the presence or absence of one variable affects the presence of another.

The dendrogram allows you to more fully correlate variable completion, revealing trends deeper than the pairwise ones visible in the correlation heatmap.

First rows

	id	url	name	season	number	type	airdate	airtime	airstamp	runtime	summary	_embedded_show_id	_embedded_show_url	_embedded_show_name	_embedded_show_type	_embedded_show_language	_embedded_show_genres	_embedded_show_status	_embedded_show_runtime	_embedded_show_averageRuntime	_embedded_show_premiered	_embedded_show_ended	_embedded_show_officialSite	_embedded_show_weight	_embedded_show_dvdCountry	_embedded_show_summary	_embedded_show_updated	_links_self_href
0	1972782	https://www.tvmaze.com/episodes/1972782/kontakty-1x28-kontakty-v-telefone-sergea-lazareva-timati-polina-gagarina-vlad-topalov-ida-galic	КОНТАКТЫ в телефоне Сергея Лазарева: Тимати, Полина Гагарина, Влад Топалов, Ида Галич	1.0	28.0	regular	2020-12-02	12:00	2020-12-02T00:00:00+00:00	38.0	nan	49630	https://www.tvmaze.com/shows/49630/kontakty	Контакты	Game Show	Russian	[]	Running	30.0	41.0	2019-04-03	nan	https://www.youtube.com/playlist?list=PLZ1FUdedsrSJubWkFFh5vKHzawzQk1mYI	53.0	nan	nan	1.651688e+09	https://api.tvmaze.com/episodes/1977902
1	1979223	https://www.tvmaze.com/episodes/1979223/kotiki-1x03-seria-3	Серия 3	1.0	3.0	regular	2020-12-02	nan	2020-12-02T00:00:00+00:00	13.0	nan	52198	https://www.tvmaze.com/shows/52198/kotiki	Котики	Scripted	Russian	['Comedy']	Ended	12.0	12.0	2020-11-30	2020-12-11	http://epic-media.ru/project/kotiki	15.0	nan	nan	1.637555e+09	https://api.tvmaze.com/episodes/2015818
2	1971567	https://www.tvmaze.com/episodes/1971567/mermaid-prince-2x07-episode-7	Episode 7	2.0	7.0	regular	2020-12-02	11:00	2020-12-02T02:00:00+00:00	15.0	nan	47207	https://www.tvmaze.com/shows/47207/mermaid-prince	Mermaid Prince	Scripted	Korean	['Drama', 'Romance', 'Mystery']	Ended	15.0	15.0	2020-04-14	2020-12-10	nan	34.0	nan	<p><b>Mermaid Prince</b> is about Hye Ri, who embarks on a graduation trip to Gangwon Province and meets Woo Hyuk, a mysterious guy who runs a guest house.</p>	1.610205e+09	https://api.tvmaze.com/episodes/1964000
3	1983072	https://www.tvmaze.com/episodes/1983072/wan-sheng-jie-2x10-all-products-funds-were-spent-on-this-episode	All products funds were spent on this episode	2.0	10.0	regular	2020-12-02	10:00	2020-12-02T02:00:00+00:00	4.0	nan	48395	https://www.tvmaze.com/shows/48395/wan-sheng-jie	Wan Sheng Jie	Animation	Chinese	['Comedy', 'Anime', 'Supernatural']	Running	4.0	4.0	2020-04-01	nan	https://v.qq.com/detail/a/awnia0n2erqryf3.html	17.0	nan	<p>The pure and cute little devil Nini lives in Room 1031 of Wan Sheng Street Apartment. His roommates are no ordinary people: The lazy and wacky vampire Ira who spends most of his time gaming or watching TV, the unlucky dancer werewolf Vladimir, the serious and old-fashioned angel landlord Lynn and his naive little sister Lily, and many more.<br /><br />What none of them realize is that the power of the demon king is sleeping inside of Nini. With evil forces in hot pursuit, can Nini and his friends head off disaster?</p>	1.647194e+09	https://api.tvmaze.com/episodes/1995405
4	1985615	https://www.tvmaze.com/episodes/1985615/yi-nian-yong-heng-1x19-episode-19	Episode 19	1.0	19.0	regular	2020-12-02	10:00	2020-12-02T02:00:00+00:00	19.0	nan	49652	https://www.tvmaze.com/shows/49652/yi-nian-yong-heng	Yi Nian Yong Heng	Animation	Chinese	['Comedy', 'Action', 'Anime', 'Fantasy']	Running	19.0	19.0	2020-08-12	nan	https://v.qq.com/detail/w/ww18u675tfmhas6.html	17.0	nan	<p>One will to create oceans. One will to summon the mulberry fields.<br /><br />One will to slaughter countless devils. One will to eradicate innumerable immortals.<br /><br />Only my will… is eternal.<br /><br />A Will Eternal tells the tale of Bai Xiaochun, an endearing but exasperating young man who is driven primarily by his fear of death and desire to live forever, but who deeply values friendship and family.<br /><br />(Source: Novel Updates)</p>	1.649494e+09	https://api.tvmaze.com/episodes/2007760
5	2030018	https://www.tvmaze.com/episodes/2030018/dolls-frontline-2x10-episode-10	Episode 10	2.0	10.0	regular	2020-12-02	12:00	2020-12-02T04:00:00+00:00	5.0	nan	45713	https://www.tvmaze.com/shows/45713/dolls-frontline	Dolls' Frontline	Animation	Chinese	['Comedy', 'Anime', 'Science-Fiction']	Ended	5.0	5.0	2019-07-28	2020-12-16	https://www.bilibili.com/bangumi/media/md28229895	20.0	nan	<p>Re-imagines famous firearms as moe girls with machine bodies that are known as T-Dolls.</p>	1.613087e+09	https://api.tvmaze.com/episodes/1985789
6	1973540	https://www.tvmaze.com/episodes/1973540/please-wait-brother-1x19-episode-19	Episode 19	1.0	19.0	regular	2020-12-02	12:00	2020-12-02T04:00:00+00:00	37.0	nan	52038	https://www.tvmaze.com/shows/52038/please-wait-brother	Please Wait, Brother	Scripted	Chinese	['Comedy']	Ended	37.0	37.0	2020-11-17	2020-12-08	nan	14.0	nan	nan	1.607698e+09	https://api.tvmaze.com/episodes/2039622
7	1973541	https://www.tvmaze.com/episodes/1973541/please-wait-brother-1x20-episode-20	Episode 20	1.0	20.0	regular	2020-12-02	12:00	2020-12-02T04:00:00+00:00	37.0	nan	52038	https://www.tvmaze.com/shows/52038/please-wait-brother	Please Wait, Brother	Scripted	Chinese	['Comedy']	Ended	37.0	37.0	2020-11-17	2020-12-08	nan	14.0	nan	nan	1.607698e+09	https://api.tvmaze.com/episodes/2039623
8	2066367	https://www.tvmaze.com/episodes/2066367/chu-feng-yi-dian-shizi-1x04-episode-4	Episode 4	1.0	4.0	regular	2020-12-02	nan	2020-12-02T04:00:00+00:00	30.0	nan	54637	https://www.tvmaze.com/shows/54637/chu-feng-yi-dian-shizi	Chu Feng: Yi Dian Shizi	Animation	Chinese	['Action']	Ended	30.0	30.0	2020-11-18	2021-01-27	http://weibo.com/u/6516179447	8.0	nan	<p>Ordinary high school student Haoxuan Sun was taken hostage in a seemingly robbery and rescued by a girl wearing winged battledress with bee bionics designs. Haoxuan Sun's peaceful life was stirred by the girl – human bioengineering weapon Vanguard Liuli. Discovered that he is the "Son of Eden" wanted by all the great powers, Haoxuan Sun and Liuli have been searching for the truth and fight against the so-called destiny. At the same time, people around Haoxuan Sun, senpai Ye Bai who he has a crash on, his best friend, and many others, were discovered to have a second identities.<br /><br />The new BEE anime is based on the original manga plot. In addition, BEE manga's author Baimao personally joined the production team. The new BEE will also include two subplots entirely new to the viewers.</p>	1.617984e+09	https://api.tvmaze.com/episodes/2324427
9	2113316	https://www.tvmaze.com/episodes/2113316/klassen-3x15-toff-kjaerlighet	Tøff kjærlighet	3.0	15.0	regular	2020-12-02	05:00	2020-12-02T04:00:00+00:00	11.0	nan	55919	https://www.tvmaze.com/shows/55919/klassen	Klassen	Scripted	Norwegian	['Drama', 'Comedy', 'Children']	Running	NaN	10.0	2019-09-06	nan	https://tv.nrk.no/serie/klassen	57.0	nan	<p>Livet i klassen er som en berg- og dalbane av kjærlighet, vennskap og samhold.</p>	1.650712e+09	https://api.tvmaze.com/episodes/2324428

Last rows

	id	url	name	season	number	type	airdate	airtime	airstamp	runtime	summary	_embedded_show_id	_embedded_show_url	_embedded_show_name	_embedded_show_type	_embedded_show_language	_embedded_show_genres	_embedded_show_status	_embedded_show_runtime	_embedded_show_averageRuntime	_embedded_show_premiered	_embedded_show_ended	_embedded_show_officialSite	_embedded_show_weight	_embedded_show_dvdCountry	_embedded_show_summary	_embedded_show_updated	_links_self_href
70	2036614	https://www.tvmaze.com/episodes/2036614/the-bump-2x60-the-bump-72	The Bump 72	2.0	60.0	regular	2020-12-02	10:00	2020-12-02T15:00:00+00:00	30.0	nan	44660	https://www.tvmaze.com/shows/44660/the-bump	The Bump	Talk Show	English	['Sports']	Running	30.0	30.0	2019-10-02	nan	https://watch.wwe.com/original/WWEs-The-Bump-107410	23.0	nan	<p>WWE's <b>The Bump</b> is unlike any WWE show you've ever seen before, featuring a dynamic cast of hosts--led by Kayla Braxton--and WWE Superstars stopping in weekly, both as in-studio and video call-in guests.</p>	1.649438e+09	https://api.tvmaze.com/episodes/1949329
71	1980718	https://www.tvmaze.com/episodes/1980718/sj-returns-4x77-episode-77	Episode 77	4.0	77.0	regular	2020-12-02	00:00	2020-12-02T15:00:00+00:00	5.0	nan	52250	https://www.tvmaze.com/shows/52250/sj-returns	SJ Returns	Reality	Korean	[]	Running	5.0	5.0	2017-10-09	nan	https://tv.naver.com/sjreturns	15.0	nan	<p>This show will follow Super Junior's everyday life.</p>	1.613088e+09	https://api.tvmaze.com/episodes/1949330
72	2192622	https://www.tvmaze.com/episodes/2192622/diti-proti-zirok-2x09-vypusk-9-tayanna-aleksandr-pedan-roman-miserakov	Выпуск 9 (TAYANNA, Александр Педан, Роман Мищеряков)	2.0	9.0	regular	2020-12-02	19:00	2020-12-02T17:00:00+00:00	90.0	nan	44675	https://www.tvmaze.com/shows/44675/diti-proti-zirok	Діти проти зірок	Game Show	Ukrainian	['Action', 'Family']	Running	90.0	90.0	2019-09-25	nan	https://novy.tv/ua/deti-protiv-zvezd/	21.0	{'name': 'Ukraine', 'code': 'UA', 'timezone': 'Europe/Zaporozhye'}	nan	1.640953e+09	https://api.tvmaze.com/episodes/1949331
73	1977756	https://www.tvmaze.com/episodes/1977756/tooning-out-the-news-1x106-hot-take	"Hot Take"	1.0	106.0	regular	2020-12-02	nan	2020-12-02T17:00:00+00:00	7.0	<p>Ronan Farrow enters the Hot Take octagon to discuss the rigged election, Trump's masterful Covid response, and the Me Too movement. </p>	45812	https://www.tvmaze.com/shows/45812/tooning-out-the-news	Tooning Out the News	Animation	English	['Comedy']	Running	NaN	13.0	2020-04-07	nan	https://www.paramountplus.com/shows/tooning-out-the-news/	43.0	nan	<p><b>Tooning Out the News</b> will provide short daily segments leading up to a weekly full episodes featuring a cast of animated characters mocking news of the day, and interviewing real-world guests and newsmakers.</p>	1.636748e+09	https://api.tvmaze.com/episodes/1949332
74	2135009	https://www.tvmaze.com/episodes/2135009/dimension-20-7x04-we-need-to-talk-about-cody	We Need to Talk About Cody	7.0	4.0	regular	2020-12-02	nan	2020-12-02T17:00:00+00:00	NaN	nan	56531	https://www.tvmaze.com/shows/56531/dimension-20	Dimension 20	Game Show	English	['Comedy', 'Adventure', 'Fantasy']	Running	NaN	NaN	2018-09-12	nan	https://www.dropout.tv/dimension-20	77.0	nan	<p>Heed the call of adventure and enter <b>Dimension 20</b> where Game Master Brennan Lee Mulligan, joined by comedians and pro gamers, blends comedy with tabletop RPGs.</p>	1.651253e+09	https://api.tvmaze.com/episodes/1949333
75	1960029	https://www.tvmaze.com/episodes/1960029/goede-tijden-slechte-tijden-31x55-aflevering-6310	Aflevering 6310	31.0	55.0	regular	2020-12-02	20:00	2020-12-02T19:00:00+00:00	23.0	nan	2504	https://www.tvmaze.com/shows/2504/goede-tijden-slechte-tijden	Goede Tijden, Slechte Tijden	Scripted	Dutch	['Drama', 'Romance']	Running	23.0	25.0	1990-10-01	nan	http://gtst.nl/#!/	77.0	nan	nan	1.651839e+09	https://api.tvmaze.com/episodes/1949334
76	1979362	https://www.tvmaze.com/episodes/1979362/rooneys-last-roll-1x04-memories	Memories	1.0	4.0	regular	2020-12-02	15:00	2020-12-02T20:00:00+00:00	9.0	nan	51888	https://www.tvmaze.com/shows/51888/rooneys-last-roll	Rooney's Last Roll	Scripted	English	['Drama', 'Comedy', 'Romance']	Ended	8.0	8.0	2020-11-11	2020-12-02	https://www.youtube.com/playlist?list=PLVewHiZp3_LOgHGEQGGMplwBIs9hU7smb	27.0	nan	<p>When an old film roll goes missing at the film lab, an unexpected connection with a stranger helps Rooney confront her heartbreak and learn to move on.</p>	1.612024e+09	https://api.tvmaze.com/episodes/1949335
77	1958865	https://www.tvmaze.com/episodes/1958865/wwe-nxt-14x49-main-event-raquel-gonzalez-vs-shotzi-blackheart-in-a-wargames-advantage-ladder-match	Main Event: Raquel Gonzalez vs. Shotzi Blackheart in a WarGames Advantage Ladder Match	14.0	49.0	regular	2020-12-02	20:00	2020-12-03T01:00:00+00:00	121.0	nan	2266	https://www.tvmaze.com/shows/2266/wwe-nxt	WWE NXT	Sports	English	[]	Running	120.0	75.0	2010-02-23	nan	http://www.wwe.com/inside/networkschedule	88.0	nan	<p>Each Wednesday at 8:00 p.m. ET, WWE Superstars and Divas of tomorrow face off on <b>WWE NXT</b><i>,</i> a one-hour weekly show that features the brightest and best of WWE's rising stars. WWE NXT showcases the Superstars and Divas from WWE's Performance Center as well as appearances from WWE Superstars and Legends in an intimate setting. WWE NXT broadcasts from the state-of-the-art Full Sail LIVE venue on the Full Sail University in campus in Orlando, Florida.</p>	1.651646e+09	https://api.tvmaze.com/episodes/1949336
78	1976920	https://www.tvmaze.com/episodes/1976920/ruth-ruby-virtual-sleepover-challenges-2020-12-02-holiday-jingle-wrap-challenge	Holiday Jingle Wrap Challenge	2020.0	8.0	regular	2020-12-02	21:25	2020-12-03T02:25:00+00:00	5.0	<p>Happy Holidays! BFFs Ruby Rose Turner (Coop & Cami Ask the World), Ruth Righi (Sydney to the Max), and special guest Issac Ryan Brown (Raven's Home) compete to see who can wrap the most gifts using oven mits and then unwrap them without making any noise!</p>	45434	https://www.tvmaze.com/shows/45434/ruth-ruby-virtual-sleepover-challenges	Ruth & Ruby Virtual Sleepover Challenges	Talk Show	English	['Comedy', 'Children', 'DIY']	Running	12.0	6.0	2019-08-09	nan	https://disneynow.com/shows/ruth-and-ruby-virtual-sleepover-challenges	21.0	nan	<p>Grab your sleeping bag and join BFFs Ruby Rose Turner (Coop & Cami Ask the World) and Ruth Righi (Sydney to the Max) for the ultimate sleepover!</p>	1.639238e+09	https://api.tvmaze.com/episodes/1996786
79	1945144	https://www.tvmaze.com/episodes/1945144/noblesse-1x09-blood-contract-devote	Blood Contract / Devote	1.0	9.0	regular	2020-12-02	00:00	2020-12-03T05:00:00+00:00	25.0	<p>Raizel and Frankenstein first met in Lukedonia, the country of nobles. Raizel took Frankenstein, who was a noble hunter at the time, into his mansion to work as his butler. Frankenstein protected him for several years, but then some among the nobility who had unfavorable opinions of the duo began to revolt. What decision did Frankenstein and Raizel reach in response to this conflict?</p>	49732	https://www.tvmaze.com/shows/49732/noblesse	Noblesse	Animation	Japanese	['Anime', 'Supernatural']	Ended	25.0	25.0	2015-12-04	2020-12-30	https://noblesse-anime.com/	44.0	nan	<p>Raizel awakens from his 820-year slumber. He holds the special title of Noblesse, a pure-blooded Noble and protector of all other Nobles. In an attempt to protect Raizel, his servant Frankenstein enrolls him at Ye Ran High School, where Raizel learns the simple and quotidian routines of the human world through his classmates. However, the Union, a secret society plotting to take over the world, dispatches modified humans and gradually encroaches on Raizel's life, causing him to wield his mighty power to protect those around him... After 820 years of intrigue, the secrets behind his slumber are finally revealed, and Raizel's absolute protection as the Noblesse begins!</p>	1.648717e+09	https://api.tvmaze.com/episodes/1955318

Overview

Variables

Common Values

Length

Most occurring characters

Most occurring categories

Most frequent character per category

Lowercase Letter

Decimal Number

Other Punctuation

Dash Punctuation

Most occurring scripts

Most frequent character per script

Latin

Common

Most occurring blocks

Most frequent character per block

ASCII

Common Values

Length

Most occurring characters

Most occurring categories

Most frequent character per category

Lowercase Letter

Uppercase Letter

Decimal Number

Other Punctuation

Space Separator

Close Punctuation

Open Punctuation

Math Symbol

Dash Punctuation

Most occurring scripts

Most frequent character per script

Latin

Cyrillic

Common

Most occurring blocks

Most frequent character per block

ASCII

Cyrillic

None

Common Values

Length

Category Frequency Plot

Most occurring characters

Most occurring categories

Most frequent character per category

Lowercase Letter

Connector Punctuation

Most occurring scripts

Most frequent character per script

Latin

Common

Most occurring blocks

Most frequent character per block

ASCII

Common Values

Length

Category Frequency Plot

Most occurring characters

Most occurring categories

Most frequent character per category

Decimal Number

Dash Punctuation

Most occurring scripts

Most frequent character per script

Common

Most occurring blocks

Most frequent character per block

ASCII

Common Values

Length

Most occurring characters

Most occurring categories

Most frequent character per category

Decimal Number

Lowercase Letter

Other Punctuation

Most occurring scripts